A large family of cell surface receptors that bind conserved molecular structures (PAMPS) present in pathogens. They play important roles in host defense by mediating cellular responses to pathogens.
In INFORMATION RETRIEVAL, machine-sensing or identification of visible patterns (shapes, forms, and configurations). (Harrod's Librarians' Glossary, 7th ed)
The analysis of a critical number of sensory stimuli or facts (the pattern) by physiological processes such as vision (PATTERN RECOGNITION, VISUAL), touch, or hearing.
The knowledge or perception that someone or something present has been previously encountered.
The capacity of a normal organism to remain unaffected by microorganisms and their toxins. It results from the presence of naturally occurring ANTI-INFECTIVE AGENTS, constitutional factors such as BODY TEMPERATURE and immediate acting immune cells such as NATURAL KILLER CELLS.
A family of pattern recognition receptors characterized by an extracellular leucine-rich domain and a cytoplasmic domain that share homology with the INTERLEUKIN 1 RECEPTOR and the DROSOPHILA toll protein. Following pathogen recognition, toll-like receptors recruit and activate a variety of SIGNAL TRANSDUCING ADAPTOR PROTEINS.
A NOD-signaling adaptor protein that contains a C-terminal leucine-rich domain which recognizes bacterial PEPTIDOGLYCAN. It signals via an N-terminal caspase recruitment domain that interacts with other CARD SIGNALING ADAPTOR PROTEINS such as RIP SERINE-THEONINE KINASES. It plays a role in the host defense response by signaling the activation of CASPASES and the MAP KINASE SIGNALING SYSTEM.
A pattern recognition receptor that forms heterodimers with other TOLL-LIKE RECEPTORS. It interacts with multiple ligands including PEPTIDOGLYCAN, bacterial LIPOPROTEINS, lipoarabinomannan, and a variety of PORINS.
Mental process to visually perceive a critical number of facts (the pattern), such as characters, shapes, displays, or designs.
A NOD signaling adaptor protein that contains two C-terminal leucine-rich domains which recognize bacterial PEPTIDOGLYCAN. It signals via an N-terminal capase recruitment domain that interacts with other CARD SIGNALING ADAPTOR PROTEINS such as RIP SERINE-THEONINE KINASES. The protein plays a role in the host defense response by signaling the activation of CASPASES and the MAP KINASE SIGNALING SYSTEM. Mutations of the gene encoding the nucleotide oligomerization domain 2 protein have been associated with increased susceptibility to CROHN DISEASE.
Cytosolic signaling adaptor proteins that were initially discovered by their role in the innate immunity (IMMUNITY, INNATE) response of organisms that lack an adaptive immune system. This class of proteins contains three domains, a C-terminal ligand recognition domain, an N-terminal effector-binding domain, and a centrally located nuclear-binding oligomerization domain. Many members of this class contain a C-terminal leucine rich domain which binds to PEPTIDOGLYCAN on the surface of BACTERIA and plays a role in pathogen resistance.
Descriptions of specific amino acid, carbohydrate, or nucleotide sequences which have appeared in the published literature and/or are deposited in and maintained by databanks such as GENBANK, European Molecular Biology Laboratory (EMBL), National Biomedical Research Foundation (NBRF), or other sequence repositories.
Glucose polymers consisting of a backbone of beta(1->3)-linked beta-D-glucopyranosyl units with beta(1->6) linked side chains of various lengths. They are a major component of the CELL WALL of organisms and of soluble DIETARY FIBER.
A pattern recognition receptor that interacts with LYMPHOCYTE ANTIGEN 96 and LIPOPOLYSACCHARIDES. It mediates cellular responses to GRAM-NEGATIVE BACTERIA.
A class of animal lectins that bind to carbohydrate in a calcium-dependent manner. They share a common carbohydrate-binding domain that is structurally distinct from other classes of lectins.
The order of amino acids as they occur in a polypeptide chain. This is referred to as the primary structure of proteins. It is of fundamental importance in determining PROTEIN CONFORMATION.
A procedure consisting of a sequence of algebraic formulas and/or logical steps to calculate or determine a given task.
A pattern recognition receptor that forms heterodimers with TOLL-LIKE RECEPTOR 2.
A family of scavenger receptors that mediate the influx of LIPIDS into MACROPHAGES and are involved in FOAM CELL formation.
The process in which substances, either endogenous or exogenous, bind to proteins, peptides, enzymes, protein precursors, or allied compounds. Specific protein-binding measures are often used as assays in diagnostic assessments.
The intracellular transfer of information (biological activation/inhibition) through a signal pathway. In each signal transduction system, an activation/inhibition signal from a biologically active molecule (hormone, neurotransmitter) is mediated via the coupling of a receptor/enzyme to a second messenger system or to an ion channel. Signal transduction plays an important role in activating cellular functions, cell differentiation, and cell proliferation. Examples of signal transduction systems are the GAMMA-AMINOBUTYRIC ACID-postsynaptic receptor-calcium ion channel system, the receptor-mediated T-cell activation pathway, and the receptor-mediated activation of phospholipases. Those coupled to membrane depolarization or intracellular release of calcium include the receptor-mediated activation of cytotoxic functions in granulocytes and the synaptic potentiation of protein kinase activation. Some signal transduction pathways may be part of larger signal transduction pathways; for example, protein kinase activation is part of the platelet activation signal pathway.
A specific mannose-binding member of the collectin family of lectins. It binds to carbohydrate groups on invading pathogens and plays a key role in the MANNOSE-BINDING LECTIN COMPLEMENT PATHWAY.
Amyloid P component is a small, non-fibrillar glycoprotein found in normal serum and in all amyloid deposits. It has a pentagonal (pentaxin) structure. It is an acute phase protein, modulates immunologic responses, inhibits ELASTASE, and has been suggested as an indicator of LIVER DISEASE.
Prosthetic replacements for arms, legs, and parts thereof.
A large family of RNA helicases that share a common protein motif with the single letter amino acid sequence D-E-A-D (Asp-Glu-Ala-Asp). In addition to RNA helicase activity, members of the DEAD-box family participate in other aspects of RNA metabolism and regulation of RNA function.
The parts of a macromolecule that directly participate in its specific combination with another molecule.
A technique to self-regulate brain activities provided as a feedback in order to better control or enhance one's own performance, control or function. This is done by trying to bring brain activities into a range associated with a desired brain function or status.
A statistical analytic technique used with discrete dependent variables, concerned with separating sets of observed values and allocating new values. It is sometimes used instead of regression analysis.
Models used experimentally or theoretically to study molecular shape, electronic properties, or interactions; includes analogous molecules, computer-generated graphics, and mechanical structures.
Cell surface proteins that bind signalling molecules external to the cell with high affinity and convert this extracellular event into one or more intracellular signals that alter the behavior of the target cell (From Alberts, Molecular Biology of the Cell, 2nd ed, pp693-5). Cell surface receptors, unlike enzymes, do not chemically alter their ligands.
The level of protein structure in which combinations of secondary protein structures (alpha helices, beta sheets, loop regions, and motifs) pack together to form folded shapes called domains. Disulfide bridges between cysteines in two different parts of the polypeptide chain along with other interactions between the chains play a role in the formation and stabilization of tertiary structure. Small proteins usually consist of only one domain but larger proteins may contain a number of domains connected by segments of polypeptide chain which lack regular secondary structure.
Theory and development of COMPUTER SYSTEMS which perform tasks that normally require human intelligence. Such tasks may include speech recognition, LEARNING; VISUAL PERCEPTION; MATHEMATICAL COMPUTING; reasoning, PROBLEM SOLVING, DECISION-MAKING, and translation of language.
A subclass of lectins that are specific for CARBOHYDRATES that contain MANNOSE.
An intracellular signaling adaptor protein that plays a role in TOLL-LIKE RECEPTOR and INTERLEUKIN 1 RECEPTORS signal transduction. It forms a signaling complex with the activated cell surface receptors and members of the IRAK KINASES.
Complement activation triggered by the interaction of microbial POLYSACCHARIDES with serum MANNOSE-BINDING LECTIN resulting in the activation of MANNOSE-BINDING PROTEIN-ASSOCIATED SERINE PROTEASES. As in the classical pathway, MASPs cleave COMPLEMENT C4 and COMPLEMENT C2 to form C3 CONVERTASE (C4B2A) and the subsequent C5 CONVERTASE (C4B2A3B) leading to cleavage of COMPLEMENT C5 and assembly of COMPLEMENT MEMBRANE ATTACK COMPLEX.
A molecule that binds to another molecule, used especially to refer to a small molecule that binds specifically to a larger molecule, e.g., an antigen binding to an antibody, a hormone or neurotransmitter binding to a receptor, or a substrate or allosteric effector binding to an enzyme. Ligands are also molecules that donate or accept a pair of electrons to form a coordinate covalent bond with the central metal atom of a coordination complex. (From Dorland, 27th ed)
A RIP serine-theonine kinase that contains a C-terminal caspase activation and recruitment domain. It can signal by associating with other CARD-signaling adaptor proteins and INITIATOR CASPASES that contain CARD domains within their N-terminal pro-domain region.
A computer architecture, implementable in either hardware or software, modeled after biological neural networks. Like the biological system in which the processing capability is a result of the interconnection strengths between arrays of nonlinear processing nodes, computerized neural networks, often called perceptrons or multilayer connectionist models, consist of neuron-like units. A homogeneous group of units makes up a layer. These networks are good at pattern recognition. They are adaptive, performing tasks by example, and thus are better for decision-making than are linear learning machines or cluster analysis. They do not require explicit programming.
The sequence of PURINES and PYRIMIDINES in nucleic acids and polynucleotides. It is also called nucleotide sequence.
The interactions between a host and a pathogen, usually resulting in disease.
Strains of mice in which certain GENES of their GENOMES have been disrupted, or "knocked-out". To produce knockouts, using RECOMBINANT DNA technology, the normal DNA sequence of the gene being studied is altered to prevent synthesis of a normal gene product. Cloned cells in which this DNA alteration is successful are then injected into mouse EMBRYOS to produce chimeric mice. The chimeric mice are then bred to yield a strain in which all the cells of the mouse contain the disrupted gene. Knockout mice are used as EXPERIMENTAL ANIMAL MODELS for diseases (DISEASE MODELS, ANIMAL) and to clarify the functions of the genes.
Glycolipid-anchored membrane glycoproteins expressed on cells of the myelomonocyte lineage including monocytes, macrophages, and some granulocytes. They function as receptors for the complex of lipopolysaccharide (LPS) and LPS-binding protein.
Cell surface molecules on cells of the immune system that specifically bind surface molecules or messenger molecules and trigger changes in the behavior of cells. Although these receptors were first identified in the immune system, many have important functions elsewhere.
An enzyme of the oxidoreductase class that catalyzes the reaction between catechol and oxygen to yield benzoquinone and water. It is a complex of copper-containing proteins that acts also on a variety of substituted catechols. EC
A pattern recognition receptor that binds DOUBLE-STRANDED RNA. It mediates cellular responses to certain viral pathogens.
The relatively long-lived phagocytic cell of mammalian tissues that are derived from blood MONOCYTES. Main types are PERITONEAL MACROPHAGES; ALVEOLAR MACROPHAGES; HISTIOCYTES; KUPFFER CELLS of the liver; and OSTEOCLASTS. They may further differentiate within chronic inflammatory lesions to EPITHELIOID CELLS or may fuse to form FOREIGN BODY GIANT CELLS or LANGHANS GIANT CELLS. (from The Dictionary of Cell Biology, Lackie and Dow, 3rd ed.)
Diseases of the uterine appendages (ADNEXA UTERI) including diseases involving the OVARY, the FALLOPIAN TUBES, and ligaments of the uterus (BROAD LIGAMENT; ROUND LIGAMENT).
The blood/lymphlike nutrient fluid of some invertebrates.
A pattern recognition receptor that binds unmethylated CPG CLUSTERS. It mediates cellular responses to bacterial pathogens by distinguishing between self and bacterial DNA.
Proteins that share the common characteristic of binding to carbohydrates. Some ANTIBODIES and carbohydrate-metabolizing proteins (ENZYMES) also bind to carbohydrates, however they are not considered lectins. PLANT LECTINS are carbohydrate-binding proteins that have been primarily identified by their hemagglutinating activity (HEMAGGLUTININS). However, a variety of lectins occur in animal species where they serve diverse array of functions through specific carbohydrate recognition.
Lipid-containing polysaccharides which are endotoxins and important group-specific antigens. They are often derived from the cell wall of gram-negative bacteria and induce immunoglobulin secretion. The lipopolysaccharide molecule consists of three parts: LIPID A, core polysaccharide, and O-specific chains (O ANTIGENS). When derived from Escherichia coli, lipopolysaccharides serve as polyclonal B-cell mitogens commonly used in laboratory immunology. (From Dorland, 28th ed)
Non-antibody proteins secreted by inflammatory leukocytes and some non-leukocytic cells, that act as intercellular mediators. They differ from classical hormones in that they are produced by a number of tissue or cell types rather than by specialized glands. They generally act locally in a paracrine or autocrine rather than endocrine manner.
Polysaccharides composed of repeating glucose units. They can consist of branched or unbranched chains in any linkages.
Established cell cultures that have the potential to propagate indefinitely.
A pattern recognition receptor that binds FLAGELLIN. It mediates cellular responses to certain bacterial pathogens.
Transport proteins that carry specific substances in the blood or across cell membranes.
Glycoproteins found on the membrane or surface of cells.
An order of fungi in the phylum ASCOMYCOTA that includes a number of species which are parasitic on higher plants, insects, or fungi. Other species are saprotrophic.
A family of scavenger receptors with broad polyanionic ligand binding properties that are expressed in embryonic insect MACROPHAGES.
Cells propagated in vitro in special media conducive to their growth. Cultured cells are used to study developmental, morphologic, metabolic, physiologic, and genetic processes, among others.
A plant family of the order Dipsacales, subclass Asteridae, class Magnoliopsida. It is sometimes called the teasel family.
A pathological process characterized by injury or destruction of tissues caused by a variety of cytologic and chemical reactions. It is usually manifested by typical signs of pain, heat, redness, swelling, and loss of function.
Serum serine proteases which participate in COMPLEMENT ACTIVATION. They are activated when complexed with the MANNOSE-BINDING LECTIN, therefore also known as Mannose-binding protein-Associated Serine Proteases (MASPs). They cleave COMPLEMENT C4 and COMPLEMENT C2 to form C4b2a, the CLASSICAL PATHWAY C3 CONVERTASE.
A genus of gram-positive cocci in the family AEROCOCCACEAE, occurring as airborne saprophytes.
A pattern recognition receptor that forms heterodimers with TLR2 RECEPTOR. The complex interacts with a variety of ligands including LIPOPROTEINS from MYCOPLASMA.
The inherent or induced capacity of plants to withstand or ward off biological attack by pathogens.
Proteins found in any species of insect.
Multiprotein complexes that mediate the activation of CASPASE-1. Dysregulation of inflammasomes has also been linked to a number of autoinflammatory and autoimmune disorders.
The degree of similarity between sequences of amino acids. This information is useful for the analyzing genetic relatedness of proteins and species.
Any blood or formed element especially in invertebrates.
Mathematical procedure that transforms a number of possibly correlated variables into a smaller number of uncorrelated variables called principal components.
The study of crystal structure using X-RAY DIFFRACTION techniques. (McGraw-Hill Dictionary of Scientific and Technical Terms, 4th ed)
Interferon secreted by leukocytes, fibroblasts, or lymphoblasts in response to viruses or interferon inducers other than mitogens, antigens, or allo-antigens. They include alpha- and beta-interferons (INTERFERON-ALPHA and INTERFERON-BETA).
Sequential operating programs and data which instruct the functioning of a digital computer.
A species of gram-negative, facultatively anaerobic, rod-shaped bacteria (GRAM-NEGATIVE FACULTATIVELY ANAEROBIC RODS) commonly found in the lower part of the intestine of warm-blooded animals. It is usually nonpathogenic, but some strains are known to produce DIARRHEA and pyogenic infections. Pathogenic strains (virotypes) are classified by their specific pathogenic mechanisms such as toxins (ENTEROTOXIGENIC ESCHERICHIA COLI), etc.
Specialized cells of the hematopoietic system that have branch-like extensions. They are found throughout the lymphatic system, and in non-lymphoid tissues such as SKIN and the epithelia of the intestinal, respiratory, and reproductive tracts. They trap and process ANTIGENS, and present them to T-CELLS, thereby stimulating CELL-MEDIATED IMMUNITY. They are different from the non-hematopoietic FOLLICULAR DENDRITIC CELLS, which have a similar morphology and immune system function, but with respect to humoral immunity (ANTIBODY PRODUCTION).
Any of the processes by which nuclear, cytoplasmic, or intercellular factors influence the differential control (induction or repression) of gene action at the level of transcription or translation.
A characteristic feature of enzyme activity in relation to the kind of substrate on which the enzyme or catalytic molecule reacts.
Theoretical representations that simulate the behavior or activity of biological processes or diseases. For disease models in living animals, DISEASE MODELS, ANIMAL is available. Biological models include the use of mathematical equations, computers, and other electronic equipment.
A class of C-type lectins that target the carbohydrate structures found on invading pathogens. Binding of collectins to microorganisms results in their agglutination and enhanced clearance. Collectins form trimers that may assemble into larger oligomers. Each collectin polypeptide chain consists of four regions: a relatively short N-terminal region, a collagen-like region, an alpha-helical coiled-coil region, and carbohydrate-binding region.
Invasion of the host organism by microorganisms that can cause pathological conditions or diseases.
Learning algorithms which are a set of related supervised computer learning methods that analyze data and recognize patterns, and used for classification and regression analysis.
The characteristic 3-dimensional shape of a protein, including the secondary, supersecondary (motifs), tertiary (domains) and quaternary structure of the peptide chain. PROTEIN STRUCTURE, QUATERNARY describes the conformation assumed by multimeric proteins (aggregates of more than one polypeptide chain).
The arrangement of two or more amino acid or base sequences from an organism or organisms in such a way as to align areas of the sequences sharing common properties. The degree of relatedness or homology between the sequences is predicted computationally or statistically based on weights assigned to the elements aligned between the sequences. This in turn can serve as a potential indicator of the genetic relatedness between the organisms.
The engulfing and degradation of microorganisms; other cells that are dead, dying, or pathogenic; and foreign particles by phagocytic cells (PHAGOCYTES).
Interferon inducer consisting of a synthetic, mismatched double-stranded RNA. The polymer is made of one strand each of polyinosinic acid and polycytidylic acid.
A pattern recognition receptor that binds several forms of imidazo-quinoline including the antiviral compound Imiquimod.
A protein with a molecular weight of 40,000 isolated from bacterial flagella. At appropriate pH and salt concentration, three flagellin monomers can spontaneously reaggregate to form structures which appear identical to intact flagella.
Proteins that originate from insect species belonging to the genus DROSOPHILA. The proteins from the most intensely studied species of Drosophila, DROSOPHILA MELANOGASTER, are the subject of much interest in the area of MORPHOGENESIS and development.
The relationship between the chemical structure of a compound and its biological or pharmacological activity. Compounds are often classed together because they have structural characteristics in common including shape, size, stereochemical arrangement, and distribution of functional groups.
The statistical reproducibility of measurements (often in a clinical context), including the testing of instrumentation or techniques to obtain reproducible results. The concept includes reproducibility of physiological measurements, which may be used to develop rules to assess probability or prognosis, or response to a stimulus; reproducibility of occurrence of a condition; and reproducibility of experimental results.
A deoxyribonucleotide polymer that is the primary genetic material of all cells. Eukaryotic and prokaryotic organisms normally contain DNA in a double-stranded state, yet several important biological processes transiently involve single-stranded regions. DNA, which consists of a polysugar-phosphate backbone possessing projections of purines (adenine and guanine) and pyrimidines (thymine and cytosine), forms a double helix that is held together by hydrogen bonds between these purines and pyrimidines (adenine to thymine and guanine to cytosine).
Any detectable and heritable change in the genetic material that causes a change in the GENOTYPE and which is transmitted to daughter cells and to succeeding generations.
Ubiquitous, inducible, nuclear transcriptional activator that binds to enhancer elements in many different cell types and is activated by pathogenic stimuli. The NF-kappa B complex is a heterodimer composed of two DNA-binding subunits: NF-kappa B1 and relA.
A subcomponent of complement C1, composed of six copies of three polypeptide chains (A, B, and C), each encoded by a separate gene (C1QA; C1QB; C1QC). This complex is arranged in nine subunits (six disulfide-linked dimers of A and B, and three disulfide-linked homodimers of C). C1q has binding sites for antibodies (the heavy chain of IMMUNOGLOBULIN G or IMMUNOGLOBULIN M). The interaction of C1q and immunoglobulin activates the two proenzymes COMPLEMENT C1R and COMPLEMENT C1S, thus initiating the cascade of COMPLEMENT ACTIVATION via the CLASSICAL COMPLEMENT PATHWAY.
Proteins prepared by recombinant DNA technology.
Methods used by pathogenic organisms to evade a host's immune system.
Commonly observed structural components of proteins formed by simple combinations of adjacent secondary structures. A commonly observed structure may be composed of a CONSERVED SEQUENCE which can be represented by a CONSENSUS SEQUENCE.
A technique of inputting two-dimensional images into a computer and then enhancing or analyzing the imagery into a form that is more useful to the human observer.
One of the type I interferons produced by fibroblasts in response to stimulation by live or inactivated virus or by double-stranded RNA. It is a cytokine with antiviral, antiproliferative, and immunomodulating activity.
A field of biology concerned with the development of techniques for the collection and manipulation of biological data, and the use of such data to make biological discoveries or predictions. This field encompasses all computational methods and theories for solving biological problems including manipulation of models and datasets.
Spectroscopic method of measuring the magnetic moment of elementary particles such as atomic nuclei, protons or electrons. It is employed in clinical applications such as NMR Tomography (MAGNETIC RESONANCE IMAGING).
A kingdom of eukaryotic, heterotrophic organisms that live parasitically as saprobes, including MUSHROOMS; YEASTS; smuts, molds, etc. They reproduce either sexually or asexually, and have life cycles that range from simple to complex. Filamentous fungi, commonly known as molds, refer to those that grow as multicellular colonies.
Peptidoglycan immunoadjuvant originally isolated from bacterial cell wall fragments; also acts as pyrogen and may cause arthritis; stimulates both humoral and cellular immunity.
Binary classification measures to assess test results. Sensitivity or recall rate is the proportion of true positives. Specificity is the probability of correctly determining the absence of a condition. (From Last, Dictionary of Epidemiology, 2d ed)
An interferon regulatory factor that is expressed constitutively and undergoes POST-TRANSLATIONAL MODIFICATION following viral infection. PHOSPHORYLATION of IRF-3 causes the protein to be translocated from the CYTOPLASM to CELL NUCLEUS where it binds DNA, and activates transcription.
Minute infectious agents whose genomes are composed of DNA or RNA, but not both. They are characterized by a lack of independent metabolism and the inability to replicate outside living host cells.
A large group of structurally diverse cell surface receptors that mediate endocytic uptake of modified LIPOPROTEINS. Scavenger receptors are expressed by MYELOID CELLS and some ENDOTHELIAL CELLS, and were originally characterized based on their ability to bind acetylated LOW-DENSITY LIPOPROTEINS. They can also bind a variety of other polyanionic ligand. Certain scavenger receptors can internalize micro-organisms as well as apoptotic cells.
Appendages of the UTERUS which include the FALLOPIAN TUBES, the OVARY, and the supporting ligaments of the uterus (BROAD LIGAMENT; ROUND LIGAMENT).
A set of statistical methods used to group variables or observations into strongly inter-related subgroups. In epidemiology, it may be used to analyze a closely grouped series of events or cases of disease or other health-related phenomenon with well-defined distribution patterns in relation to time or place or both.
Protection from an infectious disease agent that is mediated by B- and T- LYMPHOCYTES following exposure to specific antigen, and characterized by IMMUNOLOGIC MEMORY. It can result from either previous infection with that agent or vaccination (IMMUNITY, ACTIVE), or transfer of antibody or lymphocytes from an immune donor (IMMUNIZATION, PASSIVE).
A long pro-domain caspase that has specificity for the precursor form of INTERLEUKIN-1BETA. It plays a role in INFLAMMATION by catalytically converting the inactive forms of CYTOKINES such as interleukin-1beta to their active, secreted form. Caspase 1 is referred as interleukin-1beta converting enzyme and is frequently abbreviated ICE.
A broad category of carrier proteins that play a role in SIGNAL TRANSDUCTION. They generally contain several modular domains, each of which having its own binding activity, and act by forming complexes with other intracellular-signaling molecules. Signal-transducing adaptor proteins lack enzyme activity, however their activity can be modulated by other signal-transducing enzymes
RNA consisting of two strands as opposed to the more prevalent single-stranded RNA. Most of the double-stranded segments are formed from transcription of DNA by intramolecular base-pairing of inverted complementary sequences separated by a single-stranded loop. Some double-stranded segments of RNA are normal in all organisms.
Bacteria which retain the crystal violet stain when treated by Gram's method.
Theoretical representations that simulate the behavior or activity of immune system, processes, or phenomena. They include the use of mathematical equations, computers, and other electrical equipment.
A plant genus in the family THEACEAE, order THEALES best known for CAMELLIA SINENSIS which is the source of Oriental TEA.
The body's defense mechanism against foreign organisms or substances and deviant native cells. It includes the humoral immune response and the cell-mediated response and consists of a complex of interrelated cellular, molecular, and genetic components.
The level of protein structure in which regular hydrogen-bond interactions within contiguous stretches of polypeptide chain give rise to alpha helices, beta strands (which align to form beta sheets) or other types of coils. This is the first folding level of protein conformation.
A beta-D-glucan obtained from the Aphyllophoral fungus Schizophyllum commune. It is used as an immunoadjuvant in the treatment of neoplasms, especially tumors found in the stomach.
A variation of the PCR technique in which cDNA is made from RNA via reverse transcription. The resultant cDNA is then amplified using standard PCR protocols.
Large, phagocytic mononuclear leukocytes produced in the vertebrate BONE MARROW and released into the BLOOD; contain a large, oval or somewhat indented nucleus surrounded by voluminous cytoplasm and numerous organelles.
Elements of limited time intervals, contributing to particular results or situations.
The determination of the pattern of genes expressed at the level of GENETIC TRANSCRIPTION, under specific circumstances or in a specific cell.
Computer-based representation of physical systems and phenomena such as chemical processes.
Proteins which are found in membranes including cellular and intracellular membranes. They consist of two types, peripheral and integral proteins. They include most membrane-associated enzymes, antigenic proteins, transport proteins, and drug, hormone, and lectin receptors.
Proteins found in any species of bacterium.
An interleukin-1 subtype that is synthesized as an inactive membrane-bound pro-protein. Proteolytic processing of the precursor form by CASPASE 1 results in release of the active form of interleukin-1beta from the membrane.
A species of gram-positive, spherical bacteria whose organisms occur in tetrads and in irregular clusters of tetrads. The primary habitat is mammalian skin.
Members of the class of compounds composed of AMINO ACIDS joined together by peptide bonds between adjacent amino acids into linear, branched or cyclical structures. OLIGOPEPTIDES are composed of approximately 2-12 amino acids. Polypeptides are composed of approximately 13 or more amino acids. PROTEINS are linear polypeptides that are normally synthesized on RIBOSOMES.
Complex mental function having four distinct phases: (1) memorizing or learning, (2) retention, (3) recall, and (4) recognition. Clinically, it is usually subdivided into immediate, recent, and remote memory.
RNA sequences that serve as templates for protein synthesis. Bacterial mRNAs are generally primary transcripts in that they do not require post-transcriptional processing. Eukaryotic mRNA is synthesized in the nucleus and must be exported to the cytoplasm for translation. Most eukaryotic mRNAs have a sequence of polyadenylic acid at the 3' end, referred to as the poly(A) tail. The function of this tail is not known for certain, but it may play a role in the export of mature mRNA from the nucleus as well as in helping stabilize some mRNA molecules by retarding their degradation in the cytoplasm.
One of the three domains of life (the others being Eukarya and ARCHAEA), also called Eubacteria. They are unicellular prokaryotic microorganisms which generally possess rigid cell walls, multiply by cell division, and exhibit three principal forms: round or coccal, rodlike or bacillary, and spiral or spirochetal. Bacteria can be classified by their response to OXYGEN: aerobic, anaerobic, or facultatively anaerobic; by the mode by which they obtain their energy: chemotrophy (via chemical reaction) or PHOTOTROPHY (via light reaction); for chemotrophs by their source of chemical energy: CHEMOLITHOTROPHY (from inorganic compounds) or chemoorganotrophy (from organic compounds); and by their source for CARBON; NITROGEN; etc.; HETEROTROPHY (from organic sources) or AUTOTROPHY (from CARBON DIOXIDE). They can also be classified by whether or not they stain (based on the structure of their CELL WALLS) with CRYSTAL VIOLET dye: gram-negative or gram-positive.
A cell line generated from human embryonic kidney cells that were transformed with human adenovirus type 5.
Sites on an antigen that interact with specific antibodies.
Application of computer programs designed to assist the physician in solving a diagnostic problem.
The restriction of a characteristic behavior, anatomical structure or physical system, such as immune response; metabolic response, or gene or gene variant to the members of one species. It refers to that property which differentiates one species from another but it is also used for phylogenetic levels higher or lower than the species.
A general term for diseases produced by viruses.
The spatial arrangement of the atoms of a nucleic acid or polynucleotide that results in its characteristic 3-dimensional shape.
A pattern recognition receptor that is expressed in LUNG and in B-LYMPHOCYTES.
Behaviors associated with the giving of assistance or aid to individuals.
The origin recognition complex is a multi-subunit DNA-binding protein that initiates DNA REPLICATION in eukaryotes.
Software capable of recognizing dictation and transcribing the spoken words into written text.
Recombinant proteins produced by the GENETIC TRANSLATION of fused genes formed by the combination of NUCLEIC ACID REGULATORY SEQUENCES of one or more genes with the protein coding sequences of one or more genes.
Approximate, quantitative reasoning that is concerned with the linguistic ambiguity which exists in natural or synthetic language. At its core are variables such as good, bad, and young as well as modifiers such as more, less, and very. These ordinary terms represent fuzzy sets in a particular problem. Fuzzy logic plays a key role in many medical expert systems.
Controlled operation of an apparatus, process, or system by mechanical or electronic devices that take the place of human organs of observation, effort, and decision. (From Webster's Collegiate Dictionary, 1993)
The sequential activation of serum COMPLEMENT PROTEINS to create the COMPLEMENT MEMBRANE ATTACK COMPLEX. Factors initiating complement activation include ANTIGEN-ANTIBODY COMPLEXES, microbial ANTIGENS, or cell surface POLYSACCHARIDES.
An immunoassay utilizing an antibody labeled with an enzyme marker such as horseradish peroxidase. While either the enzyme or the antibody is bound to an immunosorbent substrate, they both retain their biologic activity; the change in enzyme activity as a result of the enzyme-antibody-antigen reaction is proportional to the concentration of the antigen and can be measured spectrophotometrically or with the naked eye. Many variations of the method have been developed.
Computer-assisted processing of electric, ultrasonic, or electronic signals to interpret function and activity.
Nonsusceptibility to the invasive or pathogenic effects of foreign microorganisms or to the toxic effect of antigenic substances.
Diseases of plants.
Mononuclear phagocytes derived from bone marrow precursors but resident in the peritoneum.
Bacteria which lose crystal violet stain but are stained pink when treated by Gram's method.
A pattern recognition receptor that recognizes GUANOSINE and URIDINE-rich single-stranded RNA.
Cells that line the inner and outer surfaces of the body by forming cellular layers (EPITHELIUM) or masses. Epithelial cells lining the SKIN; the MOUTH; the NOSE; and the ANAL CANAL derive from ectoderm; those lining the RESPIRATORY SYSTEM and the DIGESTIVE SYSTEM derive from endoderm; others (CARDIOVASCULAR SYSTEM and LYMPHATIC SYSTEM) derive from mesoderm. Epithelial cells can be classified mainly by cell shape and function into squamous, glandular and transitional epithelial cells.
An abundant pulmonary surfactant-associated protein that binds to a variety of lung pathogens and enhances their opsinization and killing by phagocytic cells. Surfactant protein D contains a N-terminal collagen-like domain and a C-terminal lectin domain that are characteristic of members of the collectin family of proteins.
Investigative technique commonly used during ELECTROENCEPHALOGRAPHY in which a series of bright light flashes or visual patterns are used to elicit brain activity.
An interferon regulatory factor that is induced by INTERFERONS as well as LMP-1 protein from EPSTEIN-BARR VIRUS. IRF-7 undergoes PHOSPHORYLATION prior to nuclear translocation and it activates GENETIC TRANSCRIPTION of multiple interferon GENES.
A unicellular budding fungus which is the principal pathogenic species causing CANDIDIASIS (moniliasis).
A group of deoxyribonucleotides (up to 12) in which the phosphate residues of each deoxyribonucleotide act as bridges in forming diester linkages between the deoxyribose moieties.
A member of the CXC chemokine family that plays a role in the regulation of the acute inflammatory response. It is secreted by variety of cell types and induces CHEMOTAXIS of NEUTROPHILS and other inflammatory cells.
A secreted protein that associates with TOLL-LIKE RECEPTOR 4 and is essential for receptor recognition of LIPOPOLYSACCHARIDES.
A species of fruit fly much used in genetics because of the large size of its chromosomes.
Membrane-bound cytoplasmic vesicles formed by invagination of phagocytized material. They fuse with lysosomes to form phagolysosomes in which the hydrolytic enzymes of the lysosome digest the phagocytized material.
The process by which antigen is presented to lymphocytes in a form they can recognize. This is performed by antigen presenting cells (APCs). Some antigens require processing before they can be recognized. Antigen processing consists of ingestion and partial digestion of the antigen by the APC, followed by presentation of fragments on the cell surface. (From Rosen et al., Dictionary of Immunology, 1989)
Potentially pathogenic bacteria found in nasal membranes, skin, hair follicles, and perineum of warm-blooded animals. They may cause a wide range of infections and intoxications.
Technique using an instrument system for making, processing, and displaying one or more measurements on individual cells obtained from a cell suspension. Cells are usually stained with one or more fluorescent dyes specific to cell components of interest, e.g., DNA, and fluorescence of each cell is measured as it rapidly transverses the excitation beam (laser or mercury arc lamp). Fluorescence provides a quantitative measure of various biochemical and biophysical properties of the cell, as well as a basis for cell sorting. Other measurable optical parameters include light absorption and light scattering, the latter being applicable to the measurement of cell size, shape, density, granularity, and stain uptake.
A process that includes the determination of AMINO ACID SEQUENCE of a protein (or peptide, oligopeptide or peptide fragment) and the information analysis of the sequence.
Proteins and peptides that are involved in SIGNAL TRANSDUCTION within the cell. Included here are peptides and proteins that regulate the activity of TRANSCRIPTION FACTORS and cellular processes in response to signals from CELL SURFACE RECEPTORS. Intracellular signaling peptide and proteins may be part of an enzymatic signaling cascade or act through binding to and modifying the action of other signaling factors.
A family of intracellular signaling adaptor proteins that contain caspase activation and recruitment domains. Proteins that contain this domain play a role in APOPTOSIS-related signal transduction by associating with other CARD domain-containing members and in activating INITIATOR CASPASES that contain CARD domains within their N-terminal pro-domain region.
The anterior portion of the head that includes the skin, muscles, and structures of the forehead, eyes, nose, mouth, cheeks, and jaw.
Serum glycoprotein produced by activated MACROPHAGES and other mammalian MONONUCLEAR LEUKOCYTES. It has necrotizing activity against tumor cell lines and increases ability to reject tumor transplants. Also known as TNF-alpha, it is only 30% homologous to TNF-beta (LYMPHOTOXIN), but they share TNF RECEPTORS.
The process of altering the morphology and functional activity of macrophages so that they become avidly phagocytic. It is initiated by lymphokines, such as the macrophage activation factor (MAF) and the macrophage migration-inhibitory factor (MMIF), immune complexes, C3b, and various peptides, polysaccharides, and immunologic adjuvants.
The endogenous compounds that mediate inflammation (AUTACOIDS) and related exogenous compounds including the synthetic prostaglandins (PROSTAGLANDINS, SYNTHETIC).
The insertion of recombinant DNA molecules from prokaryotic and/or eukaryotic sources into a replicating vehicle, such as a plasmid or virus vector, and the introduction of the resultant hybrid molecules into recipient cells without altering the viability of those cells.
Infections by bacteria, general or unspecified.
A linear polysaccharide of beta-1->4 linked units of ACETYLGLUCOSAMINE. It is the second most abundant biopolymer on earth, found especially in INSECTS and FUNGI. When deacetylated it is called CHITOSAN.
Leukocyte differentiation antigens and major platelet membrane glycoproteins present on MONOCYTES; ENDOTHELIAL CELLS; PLATELETS; and mammary EPITHELIAL CELLS. They play major roles in CELL ADHESION; SIGNAL TRANSDUCTION; and regulation of angiogenesis. CD36 is a receptor for THROMBOSPONDINS and can act as a scavenger receptor that recognizes and transports oxidized LIPOPROTEINS and FATTY ACIDS.
Recording of the changes in electric potential of muscle by means of surface or needle electrodes.
Linear POLYPEPTIDES that are synthesized on RIBOSOMES and may be further modified, crosslinked, cleaved, or assembled into complex proteins with several subunits. The specific sequence of AMINO ACIDS determines the shape the polypeptide will take, during PROTEIN FOLDING, and the function of the protein.
Lymphocytes responsible for cell-mediated immunity. Two types have been identified - cytotoxic (T-LYMPHOCYTES, CYTOTOXIC) and helper T-lymphocytes (T-LYMPHOCYTES, HELPER-INDUCER). They are formed when lymphocytes circulate through the THYMUS GLAND and differentiate to thymocytes. When exposed to an antigen, they divide rapidly and produce large numbers of new T cells sensitized to that antigen.
A cytokine subunit that is a component of both interleukin-12 and interleukin-23. It binds to the INTERLEUKIN-12 SUBUNIT P35 via a disulfide bond to form interleukin-12 and to INTERLEUKIN-23 SUBUNIT P19 to form interleukin-23.
Endogenous substances, usually proteins, which are effective in the initiation, stimulation, or termination of the genetic transcription process.
The storing or preserving of video signals for television to be played back later via a transmitter or receiver. Recordings may be made on magnetic tape or discs (VIDEODISC RECORDING).
A species of gram-positive, aerobic bacteria that produces TUBERCULOSIS in humans, other primates, CATTLE; DOGS; and some other animals which have contact with humans. Growth tends to be in serpentine, cordlike masses in which the bacilli show a parallel orientation.
Non-invasive method of demonstrating internal anatomy based on the principle that atomic nuclei in a strong magnetic field absorb pulses of radiofrequency energy and emit them as radiowaves which can be reconstructed into computerized images. The concept includes proton spin tomographic techniques.
Hybridization of a nucleic acid sample to a very large set of OLIGONUCLEOTIDE PROBES, which have been attached individually in columns and rows to a solid support, to determine a BASE SEQUENCE, or to detect variations in a gene sequence, GENE EXPRESSION, or for GENE MAPPING.
The part of CENTRAL NERVOUS SYSTEM that is contained within the skull (CRANIUM). Arising from the NEURAL TUBE, the embryonic brain is comprised of three major parts including PROSENCEPHALON (the forebrain); MESENCEPHALON (the midbrain); and RHOMBENCEPHALON (the hindbrain). The developed brain consists of CEREBRUM; CEREBELLUM; and other structures in the BRAIN STEM.
Proteins secreted by vertebrate cells in response to a wide variety of inducers. They confer resistance against many different viruses, inhibit proliferation of normal and malignant cells, impede multiplication of intracellular parasites, enhance macrophage and granulocyte phagocytosis, augment natural killer cell activity, and show several other immunomodulatory functions.
Polysaccharides consisting of mannose units.
Substances that augment, stimulate, activate, potentiate, or modulate the immune response at either the cellular or humoral level. The classical agents (Freund's adjuvant, BCG, Corynebacterium parvum, et al.) contain bacterial antigens. Some are endogenous (e.g., histamine, interferon, transfer factor, tuftsin, interleukin-1). Their mode of action is either non-specific, resulting in increased immune responsiveness to a wide variety of antigens, or antigen-specific, i.e., affecting a restricted type of immune response to a narrow group of antigens. The therapeutic efficacy of many biological response modifiers is related to their antigen-specific immunoadjuvanticity.
A cytokine that stimulates the growth and differentiation of B-LYMPHOCYTES and is also a growth factor for HYBRIDOMAS and plasmacytomas. It is produced by many different cells including T-LYMPHOCYTES; MONOCYTES; and FIBROBLASTS.
Statistical formulations or analyses which, when applied to data and found to fit the data, are then used to verify the assumptions and parameters used in the analysis. Examples of statistical models are the linear model, binomial model, polynomial model, two-parameter model, etc.
Compounds consisting of a short peptide chain conjugated with an acyl chain.
Genetically engineered MUTAGENESIS at a specific site in the DNA molecule that introduces a base substitution, or an insertion or deletion.

Computerized analysis of abnormal asymmetry in digital chest radiographs: evaluation of potential utility. (1/3779)

The purpose of this study was to develop and test a computerized method for the fully automated analysis of abnormal asymmetry in digital posteroanterior (PA) chest radiographs. An automated lung segmentation method was used to identify the aerated lung regions in 600 chest radiographs. Minimal a priori lung morphology information was required for this gray-level thresholding-based segmentation. Consequently, segmentation was applicable to grossly abnormal cases. The relative areas of segmented right and left lung regions in each image were compared with the corresponding area distributions of normal images to determine the presence of abnormal asymmetry. Computerized diagnoses were compared with image ratings assigned by a radiologist. The ability of the automated method to distinguish normal from asymmetrically abnormal cases was evaluated by using receiver operating characteristic (ROC) analysis, which yielded an area under the ROC curve of 0.84. This automated method demonstrated promising performance in its ability to detect abnormal asymmetry in PA chest images. We believe this method could play a role in a picture archiving and communications (PACS) environment to immediately identify abnormal cases and to function as one component of a multifaceted computer-aided diagnostic scheme.  (+info)

Machine learning approaches for the prediction of signal peptides and other protein sorting signals. (2/3779)

Prediction of protein sorting signals from the sequence of amino acids has great importance in the field of proteomics today. Recently, the growth of protein databases, combined with machine learning approaches, such as neural networks and hidden Markov models, have made it possible to achieve a level of reliability where practical use in, for example automatic database annotation is feasible. In this review, we concentrate on the present status and future perspectives of SignalP, our neural network-based method for prediction of the most well-known sorting signal: the secretory signal peptide. We discuss the problems associated with the use of SignalP on genomic sequences, showing that signal peptide prediction will improve further if integrated with predictions of start codons and transmembrane helices. As a step towards this goal, a hidden Markov model version of SignalP has been developed, making it possible to discriminate between cleaved signal peptides and uncleaved signal anchors. Furthermore, we show how SignalP can be used to characterize putative signal peptides from an archaeon, Methanococcus jannaschii. Finally, we briefly review a few methods for predicting other protein sorting signals and discuss the future of protein sorting prediction in general.  (+info)

Mid-peripheral pattern electrical retinal responses in normals, glaucoma suspects, and glaucoma patients. (3/3779)

AIMS: Reliance on intraocular pressure, optic nerve cupping changes, nerve fibre layer integrity, and visual field changes may delay treatment of glaucoma since irreversible changes may have already occurred at the time of diagnosis. Abnormal pattern electrical retinal responses (PERR or PERG) have been demonstrated in patients with ocular hypertension (no visual field changes) and glaucoma when visual stimulation was presented to the central field. Since glaucomatous visual field changes tend to occur first in the mid-periphery, the use of PERR outside of the central field may offer an earlier indication of glaucomatous involvement. METHODS: Glaucoma suspects and glaucoma patients were derived from a university practice. Normal subjects were recruited from non-patient volunteers. Alternating bar gratings were presented in the supranasal, supratemporal, infratemporal, and infranasal visual field. Six spatial frequencies, from 0.25 to 6.0 cycles per degree, were used for normal volunteers; three spatial frequencies, from 0.38 to 1.5 cycles per degree, were presented to suspects and glaucoma patients. Time of onset of the first negative (N35) and first positive peak (P50) and the amplitude consisting of the absolute difference between the first negative peak and first positive peak (P50 amplitude) are reported. Age corrected values were determined for normals, suspects, and glaucoma patients for each spatial frequency and for each quadrant in the visual field. RESULTS: Mean P50 amplitudes from normal subjects showed spatial tuning in all quadrants with reduced low frequency attenuation. Normals demonstrated a small decline in amplitude with age. Glaucoma patients demonstrated an age corrected reduction in amplitude and early implicit times. Glaucoma suspects had values between those of normal and glaucoma subjects. P50 amplitudes were weakly correlated with increasing cup to disc diameter ratio. A glaucoma patient with asymmetric visual field loss demonstrated significant diminution of the PERR bilaterally. CONCLUSION: The PERR, using mid-peripheral stimulation, may be a sensitive tool for the early detection of glaucoma. Further refinements can speed clinical data acquisition and enhance signal to noise ratio.  (+info)

Syntactic analysis and languages of shape feature description in computer-aided diagnosis and recognition of cancerous and inflammatory lesions of organs in selected x-ray images. (4/3779)

We present new algorithms for the recognition of morphologic changes and shape feature analysis, which have been proposed to be used in a diagnosis of pathologic symptoms characteristic of cancerous and inflammatory lesions. These methods have been used so far for early detection and diagnosis of neoplastic changes in pancreas and chronic pancreatitis based on x-ray images acquired by endoscopic retrograde cholangiopancreatography (ERCP). Preliminary processing of x-ray images involves binarization, and, subsequently, pancreatic ducts shown in the pictures are subjected to the straightening transformation, which enables obtaining two-dimensional width graphs that show contours of objects with their morphologic changes. Recognition of such changes was performed using attributed context-free grammars. Correct description and diagnosis of some symptoms (e.g., large cavitary projections) required two-dimensional analysis of width graphs. In such cases, languages of shape feature description with special multidirectional sinquad distribution were additionally applied.  (+info)

Content-based image retrieval in picture archiving and communications systems. (5/3779)

We propose the concept of content-based image retrieval (CBIR) and demonstrate its potential use in picture archival and communication system (PACS). We address the importance of image retrieval in PACS and highlight the drawbacks existing in traditional textual-based retrieval. We use a digital mammogram database as our testing data to illustrate the idea of CBIR, where retrieval is carried out based on object shape, size, and brightness histogram. With a user-supplied query image, the system can find images with similar characteristics from the archive, and return them along with the corresponding ancillary data, which may provide a valuable reference for radiologists in a new case study. Furthermore, CBIR can perform like a consultant in emergencies when radiologists are not available. We also show that content-based retrieval is a more natural approach to man-machine communication.  (+info)

Information systems integration in radiology. (6/3779)

Advances in information systems and technology in conjunction with outside forces requiring improved reporting are driving sweeping changes in the practice of radiology. In most academic radiology departments, there can be at least five separate information systems in daily use, a clinical picture archiving and communication system (PACS), a hospital information system (HIS), a radiology information system (RIS), a voice-recognition dictation system, and an electronic teaching/research file system. A PACS will have incomplete, incorrect, and inconsistent data if manual data entry is used. Correct routing of studies for diagnostic reporting and clinical review requires accurate information about the study type and the referring physician or service, often not easily entered manually. An HIS is a hospital-wide information system used to access patient information, reports from various services, and billing information. The RIS is typically a system specifically designed to place radiology orders, to receive interpretations, and to prepare bills for patients. Voice-recognition systems automatically transcribe the radiologist's dictation, eliminating transcription delays. Another system that is needed in a teaching hospital holds images and data for research and education. Integration of diverse systems must be performed to provide the functionality required by an electronic radiology department and the services it supports. Health Level 7 (HL7) and Digital Imaging and Communications in Medicine (DICOM) have enabled sharing of data among systems and can be used as the building blocks for truly integrated systems, but the user community and manufacturers need to specify the types of functionality needed to build clinically useful systems. Although technology development has produced the tools for interoperability for clinical and research/educational use, more work needs to be done to define the types of interaction that needs to be performed to realize the potential of these systems.  (+info)

Improved performance in protein secondary structure prediction by inhomogeneous score combination. (7/3779)

MOTIVATION: In many fields of pattern recognition, combination has proved efficient to increase the generalization performance of individual prediction methods. Numerous systems have been developed for protein secondary structure prediction, based on different principles. Finding better ensemble methods for this task may thus become crucial. Furthermore, efforts need to be made to help the biologist in the post-processing of the outputs. RESULTS: An ensemble method has been designed to post-process the outputs of discriminant models, in order to obtain an improvement in prediction accuracy while generating class posterior probability estimates. Experimental results establish that it can increase the recognition rate of protein secondary structure prediction methods that provide inhomogeneous scores, even though their individual prediction successes are largely different. This combination thus constitutes a help for the biologist, who can use it confidently on top of any set of prediction methods. Moreover, the resulting estimates can be used in various ways, for instance to determine which areas in the sequence are predicted with a given level of reliability. AVAILABILITY: The prediction is freely available over the Internet on the Network Protein Sequence Analysis ([email protected]) WWW server at http://pbil.ibcp.fr/NPSA/npsa_server.ht ml. The source code of the combiner can be obtained on request for academic use.  (+info)

The Kautsky curve is a built-in barcode. (8/3779)

We identify objects from their visually observable morphological features. Automatic methods for identifying living objects are often needed in new technology, and these methods try to utilize shapes. When it comes to identifying plant species automatically, machine vision is difficult to implement because the shapes of different plants overlap and vary greatly because of different viewing angles in field conditions. In the present study we show that chlorophyll a fluorescence, emitted by plant leaves, carries information that can be used for the identification of plant species. Transient changes in fluorescence intensity when a light is turned on were parameterized and then subjected to a variety of pattern recognition procedures. A Self-Organizing Map constructed from the fluorescence signals was found to group the signals according to the phylogenetic origins of the plants. We then used three different methods of pattern recognition, of which the Bayesian Minimum Distance classifier is a parametric technique, whereas the Multilayer Perceptron neural network and k-Nearest Neighbor techniques are nonparametric. Of these techniques, the neural network turned out to be the most powerful one for identifying individual species or groups of species from their fluorescence transients. The excellent recognition accuracy, generally over 95%, allows us to speculate that the method can be further developed into an application in precision agriculture as a means of automatically identifying plant species in the field.  (+info)

tylko po angielsku) The aim of the lecture is to present pattern recognition issues. Particularly general classification of pattern recognition approaches together with selected pattern recognition methods and techniques will be presented. Also issues concerning data acquisition, image segmentation and pattern dimensionality reduction will be discussed. Examples of applications of the discussed methods in recognition systems (together with project realised during the course) will allow listeners to analyse practical aspects of pattern recognition ...
Human epithelial (HEp-2) cell specimens is obtained from indirect immunofluorescence (IIF) imaging for diagnosis and management of autoimmune diseases. Analysis of HEp2 cells is important and in this work we consider automatic cell segmentation and classification using spatial and texture pattern features and random forest classifiers. In this paper, we summarize our efforts in classification and segmentation tasks proposed in ICPR 2016 contest. For the cell level staining pattern classification (Task 1), we utilized texture features such as rotational invariant co-occurrence (RIC) versions of the well-known local binary pattern (LBP), median binary pattern (MBP), joint adaptive median binary pattern (JAMBP), and motif cooccurrence matrix (MCM) along with other optimized features. We report the classification results utilizing different classifiers such as the k-nearest neighbors (kNN), support vector machine (SVM), and random forest (RF). We obtained the best mean class accuracy of 94.29% for ...
Learning Radiology: Recognizing the Basics 4th Revised edition - William Herring - ISBN: 9780323567299. The leading introductory radiology text for medical students and others who are required to read and interpret common radiologic images, Learning Radiology, 4th Edition, stresses an easy-to-follow pattern recognition approach that teaches how to differentiate normal and abnormal images. Dr. ...
The International Association of Pattern Recognition (IAPR) sponsored conference aims to bring together top researchers, practitioners and students from around the world to discuss the applications of pattern recognition methods in the field of bioinformatics to solve problems in the life sciences. Prospective authors are invited to submit papers in the research areas of interest to the workshop. These include:. ...
An economizer controller system having a plug and play recognition approach with an automatic user interface population mechanism. A check may be made for sensors connected to the controller. The control type of the sensors may be determined. The menu structure may be repopulated based on the control type. The user interface may then be updated. This approach may be repeated as needed.
Accurate tumor segmentation is an essential and crucial step for computer-aided brain tumor diagnosis and surgical planning. Subjective segmentations are w
The increasing amounts of microscopy data generated in cell biology requires the development of automated tools for the quantitative analysis of images. Clumps of cells are difficult to segment due to the frequent lack of clear boundaries between cells and are often ignored, but communication between cells is an intrinsic part of the response of cells to their environment. In addition cells often show a large variation in their responses, even within a clump, and an accurate segmentation is therefore vital to prevent the unwanted averaging of measurements over multiple cells. Here we present a method for segmenting clumps of cells by using a multi-scale ridge filter to enhance unclear boundaries. A multi-phase level set method incorporating a region competition term is used to identify a boundary for each cell based on the ridge filter response.
Recently, image-based, high throughput RNA interference (RNAi) experiments are increasingly carried out to facilitate the understanding of gene functions i
log in you can tag this publication with additional keywords A publication can refer to another publication (outgoing references) or it can be referred to by other publications (incoming references).. ...
Victor R. López-López, Leonardo Trujillo, Pierrick Legrand, Victor H. Díaz-Ramírez. Evaluation of Local Feature Extraction Methods Generated through Genetic Programming on Visual SLAM. Proceedings of the 2014 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC 2014), 2014, Ixtapa, Mexico. ⟨hal-01207508⟩ ...
In the recent years we have assisted to a progressively growing number of applicative areas of Pattern Recognition, mainly devoted to the exploitation of cutting edge scientific methodologies for the solution of problems of relevant interest to civil society. This trend is generating new communities, as aggregation of scientist having as common aim the development of systems more or less prompt to be transformed into real working prototypes. In the field of medical image analysis this trend has been even more evident than in others, as the availability of assisted diagnosis tools would allow the medical community to increase their productivity jointly with an improvement of the quality and precision of the diagnostic act.. Among all, rather novel interests are concentrating on the indirect immunofluorescence images (IIF), i.e. images obtained by making biological tissue interacting with special sources of light, so as to generate fluorescent image responses; these revealed especially suited for ...
Feature extraction plays an important role to improve the performance of the classifier. Microarray consists of a large amount of features with small number of samples. In this paper, we address the...
CiteSeerX - Scientific documents that cite the following paper: Efficient and robust feature extraction by maximum margin criterion
TL;DRHelixIO is a slick platform for telling you what is in your fastq sample - very useful for microbiologists!Will be interesting to see how it stacks up against KmerID in a larger number of samples.Interesting ycombinator threadHelixIO have recently launched a public beta of their intriguing bioinformatics platform for fast, portable and scalable sequence analysis.…
DI-fusion, le Dépôt institutionnel numérique de lULB, est loutil de référencementde la production scientifique de lULB.Linterface de recherche DI-fusion permet de consulter les publications des chercheurs de lULB et les thèses qui y ont été défendues.
This paper presents an ITK implementation for exporting the contours of the automated segmentation results to DICOM-RT Structure Set format. The
The current application concerns a new approach for disease recognition of vine leaves based on Local Binary Patterns (LBPs). The LBP approach was applied on color digital pictures with a natural complex background that contained infected leaves. The pictures were captured with a smartphone camera from vine plants. A 32-bin histogram was calculated by the LBP characteristic features that resulted from a Hue plane. Moreover, four One Class Support Vector Machines (OCSVMs) were trained with a training set of 8 pictures from each disease including healthy, Powdery Mildew and Black Rot and Downy Mildew. The trained OCSVMs were tested with 100 infected vine leaf pictures corresponding to each disease which were capable of generalizing correctly, when presented with vine leave which was infected by the same disease. The recognition percentage reached 97 %, 95 % and 93 % for each disease respectively while healthy plants were recognized with an accuracy rate of 100 %.
Statistical Pattern Recognition Techniques for Early Diagnosis of Diabetic Neuropathy by Posturographic Data: 10.4018/978-1-4666-1803-9.ch002: The goal of this chapter is to describe the use of statistical pattern recognition techniques in order to build a classification model for the early diagnosis
Current face recognition algorithms use hand-crafted features or extract features by deep learning. This paper presents a face recognition algorithm based on improved deep networks that can automatically extract the discriminative features of the target more accurately. Firstly,this algorithm uses ZCA( Zero-mean Component Analysis) whitening to preprocess the input images in order to reduce the correlation between features and the complexity of the training networks.Then,it organically combines convolution,pooling and stacked sparse autoencoder to get a deep network feature extractor.The convolution kernels are achieved through a separate unsupervised learning model. The improved deep networks get an automatic deep feature extractor through preliminary training and fine-tuning. Finally,the softmax regression model is used to classify the extracted features. This algorithm is tested on several commonly used face databases. It is indicated that the performance is better than the traditional methods and
The standard non-negative matrix factorization focuses on batch learning assuming that the fixed global latent parameters completely describe the observations. Many online extensions assume rigid constraints and smooth continuity in observations. However, the more complex time series processes can have multivariate distributions switch between a finite number of states or regimes. In this paper we proposes a regime-switching model for non-negative matrix factorization and present a method of forecasting in this lower-dimensional regime-dependent space. The time dependent observations are partitioned into regimes to enhance factors interpretability inherent in non-negative matrix factorization. We use weighted non-negative matrix factorization to handle missing values and to avoid needless contamination of observed structure. Finally, we propose a method of forecasting from the regime components via threshold autoregressive model and projecting the forecasts back to the original target space. ...
Designing Light Weight Intrusion Detection Systems: Non-Negative Matrix Factorization Approach: 10.4018/978-1-60566-204-6.ch013: Recently cyber security has emerged as an established discipline for computer systems and infrastructures with a focus on protection of valuable information
TechOnline is a leading source for reliable tech papers. View Performance Analysis of Face Recognition Algorithms on TMS320C64x for details on Performance Analysis of Face Recognition Algorithms on TMS320C64x.
Finucane C, Fan CW, Hade D, Byrne L, Boyle G,Kenny R, Cunningham C, Identifying Blood Pressure Response Subtypes Following Orthostatis Using Pattern Recognition Techniques, TCD Medical School Postgraduate Research Day, Dubiln, Ireland, 2008 ...
Source code became one of the backbones for business and personal processes, with significant growth rate. As applications are one of the most used attack surfaces against individuals and organizations from all sectors, their intrinsic vulnerability arising from the supporting source code must be reduced by design. Currently there are technology providers and open communities which provide Static Analysis Security Testing (SAST) solutions, able to detect vulnerabilities in code written in the most used programming languages and development frameworks.. The proposed solution consists of a Code Analysis Module that can identifies vulnerability patterns in source code written in languages with less coverage, including code developed in languages which have not been previously learned by the solution. The ability of understanding and transforming unknown programming languages to the Intermediate Representation, which is then analyzed by a common machine learning algorithm for vulnerability patterns, ...
TY - JOUR. T1 - High-Resolution Encoder-Decoder Networks for Low-Contrast Medical Image Segmentation. AU - Zhou, Sihang. AU - Nie, Dong. AU - Adeli, Ehsan. AU - Yin, Jianping. AU - Lian, Jun. AU - Shen, Dinggang. PY - 2020/1/1. Y1 - 2020/1/1. N2 - Automatic image segmentation is an essential step for many medical image analysis applications, include computer-aided radiation therapy, disease diagnosis, and treatment effect evaluation. One of the major challenges for this task is the blurry nature of medical images (e.g., CT, MR, and microscopic images), which can often result in low-contrast and vanishing boundaries. With the recent advances in convolutional neural networks, vast improvements have been made for image segmentation, mainly based on the skip-connection-linked encoder-decoder deep architectures. However, in many applications (with adjacent targets in blurry images), these models often fail to accurately locate complex boundaries and properly segment tiny isolated parts. In this ...
Unsupervised image segmentation is an important component in many image understanding algorithms and practical vision systems. However, evaluation of segmentation algorithms thus far has been largely subjective, leaving a system designer to judge the effectiveness of a technique based only on intuition and results in the form of a few example segmented images. This is largely due to image segmentation being an ill-defined problem-there is no unique ground-truth segmentation of an image against which the output of an algorithm may be compared. This paper demonstrates how a recently proposed measure of similarity, the normalized probabilistic rand (NPR) index, can be used to perform a quantitative comparison between image segmentation algorithms using a hand-labeled set of ground-truth segmentations. We show that the measure allows principled comparisons between segmentations created by different algorithms, as well as segmentations on different images. We outline a procedure for algorithm ...
Dr Jesuchristopher Joseph obtained his PhD in 2008 from Anna University, Chennai, India in the field of Medical Image Processing. He joined as a postdoctoral fellow in MRC/UCT Medical Imaging Research Unit, University of Cape Town, South Africa, and developed a novel 3D surface deformation-based shape analysis method to assess the shape variations of subcortical structures in Fetal Alcohol Spectrum Children. He also developed various applications for medical image segmentation and quantification in the area of medical microscopic image processing in Optra Systems Pvt. Ltd., India. He has over six years of experience in the fields of medical image processing and Analysis. The projects he has worked on so far include: Estimation of Nuclear Protein Expression in prostate cancer tissues. Estimation of Cytoplasm expression in colorectal tumour samples using IHC-MARK. Automated segmentation of lumen in prostate cancer using pattern recognition approach; Computerised analysis of structural and ...
In recent years, both single-nucleotide polymorphism (SNP) array and functional magnetic resonance imaging (fMRI) have been widely used for the study of schizophrenia (SCZ). In addition, a few studies have been reported integrating both SNPs data and fMRI data for comprehensive analysis. In this study, a novel sparse representation based variable selection (SRVS) method has been proposed and tested on a simulation data set to demonstrate its multi-resolution properties. Then the SRVS method was applied to an integrative analysis of two different SCZ data sets, a Single-nucleotide polymorphism (SNP) data set and a functional resonance imaging (fMRI) data set, including 92 cases and 116 controls. Biomarkers for the disease were identified and validated with a multivariate classification approach followed by a leave one out (LOO) cross-validation. Then we compared the results with that of a previously reported sparse representation based feature selection method. Results showed that biomarkers from our
CiteSeerX - Scientific articles matching the query: A 2PJ/Pixel/Direction MIMO Processing Based CMOS Image Sensor for Omnidirectional Local Binary Pattern Extraction and Edge Detection
|p style=text-indent:20px;|Honggang Yu, An efficient face recognition algorithm using the improved convolutional neural network|/p||p style=text-indent:20px;|Discrete & Continuous Dynamical Systems - S, 12 (2019), 901-914|/p||p style=text-indent:20px;|This paper is retracted by decision of the Editors in Chief of the journal Discrete &Continuous Dynamical Systems - S.|/p|
Image segmentation is one of the most important tasks in medical image analysis and is often the first and the most critical step in many clinical applications. In brain MRI analysis, image segmentation is commonly used for measuring and visualizing the brain’s anatomical structures, for analyzing brain changes, for delineating pathological regions, and for surgical planning and image-guided interventions. In the last few decades, various segmentation techniques of different accuracy and degree of complexity have been developed and reported in the literature. In this paper we review the most popular methods commonly used for brain MRI segmentation. We highlight differences between them and discuss their capabilities, advantages, and limitations. To address the complexity and challenges of the brain MRI segmentation problem, we first introduce the basic concepts of image segmentation. Then, we explain different MRI preprocessing steps including image registration, bias field correction, and
University of Washington computer scientists and engineers have launched the MegaFace Challenge, the worlds first competition aimed at evaluating and improving the performance of face recognition algorithms at the million person scale.
It is a challenging task to analyze medical images because there are very minute variations & larger data set for analysis. It is a quite difficult to develop an automated recognition system which could process on a large information of patient and provide a correct estimation. The conventional method in medicine for brain MR images classification and tumor detection is by human inspection. Fuzzy logic technique is more accurate but it fully depends on expert knowledge, which may not always available. Here we extract the feature using PCAand after that training using the ANFIS tool. The performance of the ANFIS classifier was evaluated in terms of training performance and classification accuracy. Here the resultconfirmed that the proposed ANFIS classifier with accuracy greater than 90 percentage has potential in detecting the tumors. This paper describes the proposed strategy to medical image classification of patients MRI scan images of the brain.
BioMed Research International is a peer-reviewed, Open Access journal that publishes original research articles, review articles, and clinical studies covering a wide range of subjects in life sciences and medicine. The journal is divided into 55 subject areas.
This paper addresses the problem of automatic classification of Spectral Domain OCT (SD-OCT) data for automatic identification of patients with Diabetic Macular Edema (DME) versus normal subjects. Our method is based on Local Binary Patterns (LBP) features to describe the texture of Optical Coherence Tomography (OCT) images and we compare different LBP features extraction approaches to compute a single signature for the whole OCT volume. Experimental results with two datasets of respectively 32 and 30 OCT volumes show that regardless of using low or high level representations, features derived from LBP texture have highly discriminative power. Moreover, the experiments show that the proposed method achieves better classification performances than other recent published works.
Image classification using CNN is a must know technique. In this article learn about CNN image classification with 3 datasets MNIST, CIFAR-10 and ImageNet.
Different texture descriptors are proposed for the automatic classification of skin lesions from dermoscopic images. They are based on color texture analysis obtained from (1) color mathematical morphology (MM) and Kohonen self-organizing maps (SOMs) or (2) local binary patterns (LBPs), computed with the use of local adaptive neighborhoods of the image. Neither of these two approaches needs a previous segmentation process. In the first proposed descriptor, the adaptive neighborhoods are used as structuring elements to carry out adaptive MM operations which are further combined by using Kohonen SOM; this has been compared with a nonadaptive version. In the second one, the adaptive neighborhoods enable geometrical feature maps to be defined, from which LBP histograms are computed. This has also been compared with a classical LBP approach. A receiver operating characteristics analysis of the experimental results shows that the adaptive neighborhood-based LBP approach yields the best results. It ...
X-ray absorption spectromicroscopy provides rich information on the chemical organization of materials down to the nanoscale. However, interpretation of this information in studies of natural materials such as biological or environmental science specimens can be complicated by the rich mixtures of spectroscopically complicated materials present. We describe here the shortcomings that some times arise in previously employed approaches such as cluster analysis, and we present a new approach based on non-negative matrix approximation (NNMA) analysis with both sparseness and cluster-similarity regularizations. In a preliminary study of the large-scale biochemical organization of human spermatozoa, NNMA analysis delivers results that nicely show the major features of spermatozoa with no physically erroneous negative weightings or thicknesses in the calculated image. ...
BraTS has always been focusing on the evaluation of state-of-the-art methods for the segmentation of brain tumors in multimodal magnetic resonance imaging (MRI) scans. BraTS 2019 utilizes multi-institutional pre-operative MRI scans and focuses on the segmentation of intrinsically heterogeneous (in appearance, shape, and histology) brain tumors, namely gliomas. Furthemore, to pinpoint the clinical relevance of this segmentation task, BraTS19 also focuses on the prediction of patient overall survival, via integrative analyses of radiomic features and machine learning algorithms. Finally, BraTS19 intends to experimentally evaluate the uncertainty in tumor segmentations.. ...
DESCRIPTION. PseAAC is an algorithm that could convert a protein sequence into a digital vector that could be processed by pattern recognition algorithms. The design of PseAAC incorporated the sequence order information to improve the conventional amino acid compositions. The application of pseudo amino acid composition is very common, including almost every branch of computational proteomics.. PseAAC-Builder (PseAAC-General) is a cross-platform stand-alone program for generating various special Chous pseudo-amino acid compositions.. ::DEVELOPER. PseAAC team. :: SCREENSHOTS. N/A. :: REQUIREMENTS. ...
Active Contour와 Optical Flow를 이용한 카메라가 움직이는 환경에서의 이동 물체의 검출과 추적(A Method of Segmentation and Tracking of a Moving Object in Moving Camera Circumstances using Active Contour Models and Optical Flow ...
This paper presents a novel unsupervised algorithm to detect salient regions and to segment out foreground objects from background. In contrast to previous unidirectional saliency-based object segmentation methods, in which only the detected saliency map is used to guide the object segmentation, our algorithm mutually exploits detection/segmentation cues from each other. To achieve this goal, an initial saliency map is generated by the proposed segmentation driven low-rank matrix recovery model. Such a saliency map is exploited to initialize object segmentation model, which is formulated as energy minimization of Markov random field. Mutually, the quality of saliency map is further improved by the segmentation result, and serves as a new guidance for the object segmentation. The optimal saliency map and the final segmentation are achieved by jointly optimizing the defined objective functions. Extensive evaluations on MSRA-B and PASCAL-1500 datasets demonstrate that the proposed algorithm achieves the
This practical is on image classification, where an image is classified according to its visual content. For example, does it contain an airplane or not. Important applications are image retrieval - searching through an image dataset to obtain (or retrieve) those images with particular visual content, and image annotation - adding tags to images if they contain particular object categories.. The goal of this session is to get basic practical experience with image classification. It includes: (i) training a visual classifier for five different image classes (airplanes, motorbikes, people, horses and cars); (ii) assessing the performance of the classifier by computing a precision-recall curve; (iii) varying the visual representation used for the feature vector, and the feature map used for the classifier; and (iv) obtaining training data for new classifiers using Bing image search and using the classifiers to retrieve images from a dataset. ...
Purpose: To develop an automated pulmonary image analysis framework for infectious lung diseases in small animal models. Methods: The authors describe a novel pathological lung and airway segmentation method for small animals. The proposed framework includes identification of abnormal imaging patterns pertaining to infectious lung diseases. First, the authors system estimates an expected lung volume by utilizing a regression function between total lung capacity and approximated rib cage volume. A significant difference between the expected lung volume and the initial lung segmentation indicates the presence of severe pathology, and invokes a machine learning based abnormal imaging pattern detection system next. The final stage of the proposed framework is the automatic extraction of airway tree for which new affinity relationships within the fuzzy connectedness image segmentation framework are proposed by combining Hessian and gray-scale morphological reconstruction filters. Results: 133 CT ...
Shadows in high resolution imagery create significant problems for urban land cover classification and environmental application. We first investigated whether shadows were intrinsically different and hypothetically possible to separate from each other with ground spectral measurements. Both pixel-based and object-oriented methods were used to evaluate the effects of shadow detection on QuickBird image classification and spectroradiometric restoration. In each method, shadows were detected and separated either with or without histogram thresholding, and subsequently corrected with a k-nearest neighbor algorithm and a linear correlation correction. The results showed that shadows had distinct spectroradiometric characteristics, thus, could be detected with an optimal brightness threshold and further differentiated with a scene-based near infrared ratio. The pixel-based methods generally recognized more shadow areas and with statistically higher accuracy than the object-oriented methods. The effects of
The proposed PhD project will develop and study pattern recognition methods and machine learning techniques for context inference based on eye movement analysis. Potential applications are in activity and health monitoring, location-awareness, assisted living, and cognition-aware user interfaces. The research will be experimental, using portable eye tracking equipment and wearable sensor systems, and will involve user studies and data collection in daily life settings. In addition to experimental skills, the work will require to develop a thorough understanding of pattern recognition, machine learning and statistical signal processing techniques suitable for inferring various aspects of context from eye movements ...
1. Introduction Automatic diagnosis systems for detecting health illnesses that employ image processing have been widely accepted in recent years, because they offer support for decisions made by specialists. These methods reduce the subjectivity associated with the traditional diagnosis. In addition, these systems are capable of enhancing important details in the images based on color transformations that simplify the classi﫿cation stage and provide the clarity needed to identify object structures more easily. Feature extraction as a fundamental processing stage is very important, considering its strong in﫿uence on a successful diagnosis. For instance, the standard approach in dermoscopic images analyzed usually has three stages: (i) image segmentation, (ii) feature extraction and feature selection, (iii) lesion classification [1]. The first step is one of the most important because the accuracy of the next steps strongly depends on the image segmentation performance. In the literature, ...
We present an algorithm to adjust the contrast of individual dyes from colour (red-green-blue) images of dye mixtures. Our technique is based on first decomposing the colour image into individual dye components, then adjusting each of the dye components and finally mixing the individual dyes to generate colour images. Specifically in this paper, we digitally adjust the staining proportions of hematoxylin and eosin (H&E) chromogenic dyes in tissue images. We formulate the physical dye absorption process as a non-negative mixing equation, and solve the individual components using non-negative matrix factorisation (NMF). Our NMF formulation includes camera dark current in addition to the mixing proportions and the individual H and E components. The novelty of our approach is to adjust the dye proportions while preserving the color of nonlinear dye interactions, such as pigments and red blood cells. In this paper we present results for only H&E images, our technique can easily be extended to other staining
A new texture feature-based seeded region growing algorithm is proposed for automated segmentation of organs in abdominal MR images. 2D Co-occurrence texture feature, Gabor texture feature, and both 2D and 3D Semi- variogram texture features are extracted from the image and a seeded region growing algorithm is run on these feature spaces. With a given Region of Interest (ROI), a seed point is automatically se-lected based on three homogeneity criteria. A threshold is then obtained by taking a lower value just before the one causing explosion. This algorithm is tested on 12 series of 3D ab-dominal MR images.
Automatic identification of the boundaries of significant structure (segmentation) within a medical image is an are of ongoing research. Various approaches have been proposed but only two methods have achieved widespread use: manual delineation of boundaries and segmentation using intensity values. …
Throughout history there have been numerous technological advances in the medical field. Some so minute that we don t even know about them, others that have changed the entire medical field at the blink of an eye. The applications of higher dimensional vector spaces have helped doctors diagnose breast cancer and heart disease. Vector spaces help doctors figure out if a lump found in a woman s breast is benign or malignant. Diagnosing heart disease in someone has also started using the application of vector spaces. ...
As histology patterns vary depending on different tissue types, it is typically necessary to adapt and optimize segmentation algorithms to these tissue type-specific applications. Here we present an unsupervised method that utilizes cell shape cues to achieve this task-specific optimization by introducing a shape ranking function. The proposed algorithm is part of our Layers™ toolkit for image and data analysis for multiplexed immunohistopathology images. To the best of our knowledge, this is the first time that this type of methodology is proposed for segmentation and ranking in cell tissue samples. Our new cell ranking scheme takes into account both shape and scale information and provides information about the quality of the segmentation. First, we introduce cell-shape descriptor that can effectively discriminate the cell-types morphology. Secondly, we formulate a hierarchical-segmentation as a dynamic optimization problem, where cells are subdivided if they improve a segmentation quality criteria
The publication Image segmentation techniques is placed in the Top 10000 of the best publications in CiteWeb. Also in the category Computer Science it is included to the Top 1000. Additionally, the publicaiton Image segmentation techniques is placed in the Top 1000 among other scientific works published in 1985 ...
In this study, we present PaCeQuant, a novel ImageJ-based tool for automatic segmentation of leaf epidermal PCs and simultaneous quantification of PC shape characteristics. The fully automatic segmentation of individual cells by PaCeQuant is a major advance because currently all measurements of PCs require manual segmentation. Manual segmentation is very time consuming and prone to bias introduced by the subjectivity of sample choice and contour labeling (Vanhaeren et al., 2015; Wu et al., 2016). PaCeQuant efficiently detects cell outlines in confocal input images using a combination of contrast and boundary enhancement, analysis of skeletons in binary images and watershed-based gap closing (Fig. 1).. We validated the accuracy of the automatic segmentation implemented in PaCeQuant by comparison to results from manually segmented cells (Fig. 3; Supplemental Fig. S2; Supplemental Table S2). In few cases, PaCeQuant locally determined cell contours with low accuracy, mostly at regions of lower ...
CiteSeerX - Document Details (Isaac Councill, Lee Giles, Pradeep Teregowda): Matrices that can be factored into a product of two simpler matrices can serve as a useful and often natural model in the analysis of tabulated or highdimensional data. Models based on matrix factorization (Factor Analysis, PCA) have been extensively used in statistical analysis and machine learning for over a century, with many new formulations and models suggested in recent
Influence of the Training Library Composition on a Patch-based label fusion method: Application to Hippocampus Segmentation on ADNI dataset.. . Biblioteca virtual para leer y descargar libros, documentos, trabajos y tesis universitarias en PDF. Material universiario, documentación y tareas realizadas por universitarios en nuestra biblioteca. Para descargar gratis y para leer online.
Læs om Cellular Image Classification - 2016. Udgivet af Springer International Publishing AG. Bogens ISBN er 9783319476285, køb den her
Journal of Image Processing & Pattern Recognition Progress (JoIPPRP) is a print and e-journal focused towards the rapid publication of fundamental research papers on all areas of Image Processing & pattern Recognition.. This Journal of image processing & pattern recognition progress have a broad scope, including advances in fundamental image processing, pattern recognition and statistical, mathematical techniques relevant to the scopes covers.. eISSN- 2394-1995. Focus & Scope:. ...
In this paper we present a robust parsing algorithm based on the link grammar formalism for parsing natural languages. Our algorithm is a natural extension of the original dynamic programming recognition algorithm which recursively counts the number of linkages between two words in the input sentence. The modified algorithm uses the notion of a null link in order to allow a connection between any pair of adjacent words, regardless of their dictionary definitions. The algorithm proceeds by making three dynamic programming passes. In the first pass, the input is parsed using the original algorithm which enforces the constraints on links to ensure grammaticality. In the second pass, the total cost of each substring of words is computed, where cost is determined by the number of null links necessary to parse the substring. The final pass counts the total number of parses with minimal cost. All of the original pruning techniques have natural counterparts in the robust algorithm. When used together ...
Robust active contour segmentation with an efficient global optimizer. . Biblioteca virtual para leer y descargar libros, documentos, trabajos y tesis universitarias en PDF. Material universiario, documentación y tareas realizadas por universitarios en nuestra biblioteca. Para descargar gratis y para leer online.
Orbit GT releases 3D Mapping Feature Extraction Standard v18: Orbit GT launches the 3D Mapping Feature Extraction Standard product version 18. Lokeren, Belgium, Nov 15, 2017 --
The intrinsic image decomposition aims to retrieve intrinsic properties of an image, such as shading and reflectance. To make it possible to quantitatively compare different approaches to this problem in realistic settings, we present a ground-truth dataset of intrinsic image decompositions for a variety of real-world objects. For each object, we separate an image of it into three components: Lambertian shading, reflectance, and specularities ...
I am currently with a medical imaging project. Just wondering how to measure the shape of a sphere. For example, how to give a measurement that an object is more like a sphere than the other?. I know some algorithm can give the roundness in 2D, but a measure of sphereness in 3D would be more helpful.. Also, I am very interested in other shape analysis. The shape of the object could be a very interesting feature for further pattern recognition.. Thanks very much!. ...
CiteSeerX - Document Details (Isaac Councill, Lee Giles, Pradeep Teregowda): In recent NIST evaluations on sentence boundary detection, a single error metric was used to describe performance. Additional metrics, however, are available for such tasks, in which a word stream is partitioned into subunits. This paper compares alternative evaluation metrics-including the NIST error rate, classification error rate per word boundary, precision and recall, ROC curves, DET curves, precision-recall curves, and area under the curves-and discusses advantages and disadvantages of each. Unlike many studies in machine learning, we use real data for a real task. We find benefit from using curves in addition to a single metric. Furthermore, we find that data skew has an impact on metrics, and that differences among different system outputs are more visible in precision-recall curves. Results are expected to help us better understand evaluation metrics that should be generalizable to similar language processing tasks.
Ten popular spike sorting codes are reproducibly benchmarked for accuracy on electrophysiology datasets from eleven laboratories with interactive web-based exploration of thousands of ground-truth units.
Proceedings of 13th International Conference on Pattern Recognition. 1. pp. 951-956 vol.1. doi:10.1109/ICPR.1996.546164. ISBN ... Johnson, M. P. (August 1996). Automated creation of visual routines using genetic programming. ... alleviating the need to deal with real-world perceptual tasks like object recognition and occlusion compensation. "Ullman's ...
"Current challenges in automating visual perception". 2008 37th IEEE Applied Imagery Pattern Recognition Workshop. pp. 1-8. doi: ... Conference on Pattern Recognition (ICPR), 2012" (PDF). Archived from the original (PDF) on 2014-08-26. Retrieved 2012-07-11. ... Proceedings of 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2005), IEEE Computer ... Proceedings of 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2005), IEEE Computer ...
Carter Automatic Gait Recognition by Symmetry Analysis, Pattern Recognition Letters, 24(13), 2175-2183, 200 (Invited from AVBPA ... ". "Towards automated eyewitness descriptions: describing the face, body and clothing for recognition". "Analysing Acceleration ... He is a Fellow of the International Association of Pattern Recognition. Nixon graduated from University of Reading in BSc ... He was appointed as Chair of the International Association of Pattern Recognition (IAPR), while also serving as member of ...
March 2013). "Automated Delineation of Lung Tumors from CT Images Using a Single Click Ensemble Segmentation Approach". Pattern ... Recognition. 46 (3): 692-702. doi:10.1016/j.patcog.2012.10.005. PMC 3580869. PMID 23459617. Velazquez ER, Parmar C, Jermoumi M ... Instead of manual segmentation, an automated process has to be used. A possible solution are automatic and semiautomatic ... Lung tumor biological mechanisms may demonstrate distinct and complex imaging patterns. In particular, Aerts et al. (2014) ...
Horst Bunke; Alberto Sanfeliu (January 1990). Syntactic and Structural Pattern Recognition: Theory and Applications. World ... ISBN 978-9971-5-0566-0. Stephen Cole Kleene (Dec 1951). Representation of Events in Nerve Nets and Finite Automate (PDF) ( ... which are augmented with features that allow recognition of non-regular languages). Alternatively, a regular language can be ...
"Automated chemical structure analysis of organic molecules with a molecular structure generator and pattern recognition ... One of the earliest attempts was made by Hidetsugu Abe in 1975 using a pattern recognition-based structure generator. The ... "An expert system for automated structure elucidation utilizing 1H-1H, 13C-1H and 15N-1H 2D NMR correlations". Fresenius' ...
Pattern Recognition. 42 (11): 2460-2469. doi:10.1016/j.patcog.2009.03.001. Karperien, Audrey; Jelinek, Herbert F.; Leandro, ... Jorge de Jesus Gomes; Soares, João V. B.; Cesar Jr, Roberto M.; Luckie, Alan (2008). "Automated detection of proliferative ... To illustrate, Figure 2a shows the typical pattern used in software that calculates box counting dimensions from patterns ... Figure 2b illustrates the basic pattern of scanning using a sliding box. The fixed grid approach can be seen as a sliding box ...
... developed relies on self-report or automated systems that monitor human behavior using sensors and pattern recognition ... the effects of feedback on electricity consumption in the home showed that the feedback on the electricity consumption pattern ...
He is one of the founders of artificial intelligence (AI), making early contributions in pattern recognition and automated ... doi:10.1016/0004-3702(77)90012-1. W.W. Bledsoe; I. Browning (1959). "Pattern Recognition and Reading by Machine". Papers ... W.W. Bledsoe (1966). "Some Results on Multicategory Pattern Recognition". J. ACM. 13 (2): 304-316. doi:10.1145/321328.321340. ... Boyer, Anne Olivia; Boyer, Robert S. (1991). "A Biographical Sketch of W. W. Bledsoe". In Boyer, Robert S. (ed.). Automated ...
Through the use of pattern-recognition software, researchers have developed software that can characterize microscopic pollen ... Innovations in automated microscopy and imagining software offer one potential alternative in the identification of pollen. ... "Automated pollen identification using microscopic imaging and texture analysis". Micron. 68: 36-46. doi:10.1016/j.micron. ...
In pattern recognition and machine learning, a feature vector is an n-dimensional vector of numerical features that represent ... Automating this process is feature learning, where a machine not only uses features for learning, but learns the features ... Features are usually numeric, but structural features such as strings and graphs are used in syntactic pattern recognition. The ... In machine learning and pattern recognition, a feature is an individual measurable property or characteristic of a phenomenon ...
... 2001: for contributions to pattern recognition, sensor fusion, automated intelligent decision system design ... is Fellow of the Institute of Electrical and Electronics Engineers and a consultant in design and development of automated ...
In Pattern Recognition, 2008. ICPR 2008. 19th International Conference on (pp. 1-4). IEEE. ... Malla, A. M., Davidson, P. R., Bones, P. J., Green, R., & Jones, R. D. (2010, August). Automated video-based measurement of eye ... Another study examined the activation patterns of 5 people who woke up from microsleeps in a simulated driving experiment.[4] ...
IEEE Computer Society Conference on Computer Vision and Pattern Recognition.. *^ C. Tomasi & T. Kanade (1992). "Shape and ... a paradigm for model fitting with applications to image analysis and automated cartography". Commun. ACM. 24 (6): 381-395. doi: ... IEEE Computer Society Conference on Computer Vision and Pattern Recognition.. *^ Engel, Jakob; Schöps, Thomas; Cremers, Daniel ... "Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001. Kauai, HI, USA ...
Finally, pattern recognition is a field which uses various methods to extract information from signals in general, mainly based ... From the perspective of engineering, it seeks to understand and automate tasks that the human visual system can do. Computer ... IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Workshops. 2010. pp. 100-107. doi:10.1109/CVPRW. ... Facial recognition Shape Recognition Technology (SRT) in people counter systems differentiating human beings (head and shoulder ...
Pattern recognition methods for optimizing multivariate tissue signatures in diagnostic ultrasound. Ultrason Imaging. 1986 Jul; ... Automated analysis of strain rate and strain: feasibility and clinical implications. J Am Soc Echocardiogr. 2005 May;18(5):411- ... echo from the myocardium shows a speckle pattern that is a mixture of small scatters and interference patterns.The pattern ... Automated analysis of myocardial deformation at dobutamine stress echocardiography: an angiographic validation. J Am Coll ...
Pattern recognition methods for optimizing multivariate tissue signatures in diagnostic ultrasound. Ultrason Imaging. 1986 Jul; ... Automated analysis of strain rate and strain: feasibility and clinical implications. J Am Soc Echocardiogr. 2005 May;18(5):411- ... The pattern being random, each region of the myocardium has a unique speckle pattern (also called patterns, features, or ... As the speckle pattern is random, any region of the myocardium has a unique speckle pattern: Within the picture, a defined area ...
... limits and options for automated field identification with a synergic pattern recognition approach". Mammalia. 68 (4): 307-32. ...
... limits and options for automated field identification with a synergetic pattern recognition approach". Mammalia. 68 (4). doi: ...
... limits and options for automated field identification with a synergetic pattern recognition approach". Mammalia. 68 (4): 307- ...
... limits and options for automated field identification with a synergic pattern recognition approach". Mammalia. 68 (4): 307-32. ... the Brandt's bat is the most extreme outlier to this pattern, with lifespans exceeding 40 years in the wild while only weighing ...
... limits and options for automated field identification with a synergetic pattern recognition approach". Mammalia. 68 (4). doi: ...
... limits and options for automated field identification with a synergetic pattern recognition approach" (PDF). Mammalia. 68 (4). ...
... limits and options for automated field identification with a synergic pattern recognition approach" (PDF). Mammalia. 68 (4): ...
... automated fingerprint verification remained a challenge and was extensively researched in the context of pattern recognition ... Therefore, the recognition of minutiae features became the most common basis for automated fingerprint verification. The most ... In a pattern-based algorithm, the template contains the type, size, and orientation of patterns within the aligned fingerprint ... In 1823 Jan Evangelista Purkyně identified nine fingerprint patterns. The nine patterns include the tented arch, the loop, and ...
MAchine LEarning and Pattern Recognition from 2016 to 2018. She is working in computer visioon and pattern recongition since ... "AN AUTOMATED PICKING WORKSTATION FOR HEALTHCARE APPLICATIONS" COMPUTERS & INDUSTRIAL ENGINEERING, vol. 64, pp. 653-668, 2013 , ... Gruppo di ricercatori italiani in pattern recognition) then Renamed in CVPL Computer Vision, Pattern recognitin and Machine ... "International Project on Pattern Recognition". Retrieved May 30, 2020. "Rita Cucchiara". State of the Net. Retrieved 2020-05-31 ...
Facial expression recognition based on local binary patterns: A comprehensive study A real-time automated system for the ... Shan, C; Gong, S; McOwan, Peter (4 May 2009). "Facial expression recognition based on Local Binary Patterns: A comprehensive ... Anderson, Keith; McOwan, Peter (February 2006). "A real-time automated system for the recognition of human facial expressions ... Anderson, Keith (2004). A real-time facial expression recognition system for affective computing. libraries.london.ac.uk (PhD ...
ART networks are used for many pattern recognition tasks, such as automatic target recognition and seismic signal processing. ... Automated machine learning Cluster analysis Anomaly detection Expectation-maximization algorithm Generative topographic map ... Carpenter, G.A. & Grossberg, S. (1988). "The ART of adaptive pattern recognition by a self-organizing neural network" (PDF). ... such as pattern recognition and experiential learning. Among neural network models, the self-organizing map (SOM) and adaptive ...
Pattern recognition Image retrieval Content-based image retrieval Outline of object recognition [1] Datta, Ritendra; Dhiraj ... Global image features and nonparametric density estimation A Yavlinsky, E Schofield & S Rüger (2005). "Automated Image ... on Computer Vision and Pattern Recognition (CVPR). TagProp: Discriminative Metric Learning in Nearest Neighbor Models for Image ... IEEE Conference on Computer Vision and Pattern Recognition. pp. 1002-1009. Multiple design alternatives J Y Pan; H-J Yang; P ...
"Age differences in tactile pattern recognition at the fingertip". Somatosensory & Motor Research. 23 (3-4): 147-55. doi:10.1080 ... which can be applied manually or with automated equipment.[22] Many studies have shown a decline in passive tactile spatial ... "A Tactile Automated Passive-Finger Stimulator (TAPS)". Journal of Visualized Experiments (28). doi:10.3791/1374. PMC 2726582. ...
Images representing the localization patterns of 4 proteins and DNA were obtained using fluorescence microscopy and divided ... Methods for numerical description and subsequent classification of cellular protein localization patterns are described. ... Automated recognition of patterns characteristic of subcellular structures in fluorescence microscopy images Cytometry. 1998 ... These results demonstrate the feasibility of applying pattern recognition methods to subcellular localization patterns, ...
An automated method for pattern recognition using linear mixing model and vertex component analysis Author(s): N. Haq; M. S. ... SPIE 6566, Automatic Target Recognition XVII, 65660K (7 May 2007);. Show Author Affiliations. N. Haq, Univ. of South Alabama ( ... There are also methods to detect subpixel target [1-2]. In this paper we have presented an automated method to detect ...
Development of Pattern Recognition Software for Automated Computer Detection of AIDS-Related Cytomegalovirus Retinitis on ... Development of Pattern Recognition Software for Automated Computer Detection of AIDS-Related Cytomegalovirus Retinitis on ... Purpose: : To explore the feasibility of developing pattern-recognition software for automated identification of AIDS-related ... Development of Pattern Recognition Software for Automated Computer Detection of AIDS-Related Cytomegalovirus Retinitis on ...
... compact analytical device or unit incorporating a biological or biologically derived sensitive recognition element integrated ... Time-series processing for portable biosensors and mobile platforms for automated pattern recognition. * Author(s): C. P. ... Other keywords: mobile platforms; time series processing; physiochemical transducer; automated pattern recognition; portable ... Time-series processing for portable biosensors and mobile platforms for automated pattern recognition, Page 1 of 2 ...
... automated quality assessments & how Mendix ensures data access rights are respected in the UI & APIs from the official guide. ... Pattern Recognition. Mendix performs analysis to detect patterns that may cause issues for applications running in production. ... Model Consistency & Automated Quality Assessments - Application Development , Mendix Evaluation Guide. Skip navigation Site ...
Pattern Recognition, Automated. Steven Kleinstein, PhD Associate Professor of Pathology. Research Interests. Autoimmune ... Pattern Recognition, Automated; Virus Diseases ...
To address these problems, we report on a unified algorithmic framework for automated sensor data quality control, which can ... Keywords: Bayesian nonparametrics; clinimetric tests; Parkinsons disease; pattern recognition; quality control; remote ... pattern recognition; quality control; remote monitoring; segmentation; wearable sensors ... Automated Quality Control for Sensor Based Symptom Measurement Performed Outside the Lab by Reham Badawy 1,*,†. , Yordan P. ...
... further public health investigation and to enhance recognition of subtle or obscure outbreak patterns (9). Automated analysis ... Pattern Recognition Statistical tools for pattern recognition and aberration detection can be applied to screen data for ... Application of pattern recognition tools/algorithms: Before analytic tools can be applied to the data in the surveillance ... analytic methods are needed to improve pattern recognition and to integrate multiple streams of data; a shared vocabulary is ...
Pattern recognition for common encoding algorithms. *Addressing undocumented binary protocols. *What to do after breaking the ... As the volume of log data increases, so does the need to consider automated analytic tools. You will learn various solutions ... Examine traffic using common network protocols to identify patterns of activity or specific actions that warrant further ...
The F2 recognition code also becomes less distributed when an input pattern contains more contextual information on which to ... The network F2 activates compressed recognition close that are predictive with respect to the activation patterns flickering ... Such capabilities are useful in speech recognition, visual object recognition, and cognitive information processin GOVERNMENT ... of a familiar F1 pattern can tune the adaptive filter to elicit a more focal spatial activation of its F2 recognition code than ...
Pattern Recognition, Automated* * Programming Languages * Repetitive Sequences, Nucleic Acid / genetics* * Retroelements / ... It eliminates many common formatting errors, and automates actions such as calculation of sequence lengths and composition, ...
... feature subset composed of five MSE-derived features and four conventional clinical indices were obtained using automated ... automated pattern recognition paediatric obstructive sleep apnoea syndrome; unattended oximetry; multiscale entropy; automated ... LSTM-CRF for Drug-Named Entity Recognition. Previous Article in Special Issue. Correntropy-Based Pulse Rate Variability ... feature subset composed of five MSE-derived features and four conventional clinical indices were obtained using automated ...
Automated feature extraction for the classification of human in vivo13C NMR spectra using statistical pattern recognition and ... Automated feature extraction for the classification of human in vivo13C NMR spectra using statistical pattern recognition and ... Automated feature extraction for the classification of human in vivo13C NMR spectra using statistical pattern recognition and ... 94861/automated-feature-extraction-for-the-classification-of-human-in-vivo13c-nmr-spectra-using-statistical-pattern-recognition ...
1.11.2. Automated Inspection (imaging, vision, artificial intelligence, pattern recognition). 1.11.3. Health monitoring. 1.11.4 ... 4.4.7. Pattern recognition. 5. High performance robotics. 5.1. Control. 5.1.1. Control by iterative learning. 5.1.2. Parallel ... Image processing, pattern recognition, artificial vision. 5.2.3. Intelligent control of electrical drives and high precision ...
An Automated Fish Migration Pattern Monitoring System Using Shape Descriptors for Pattern Recognition SBC: Agris-Schoen Vision ... research scientists have an urgent need for an automated fish recognition system for monitoring fish migration patterns. Many ... and the time are recorded for migration pattern stud ... ...
Computer Science > Computer Vision and Pattern Recognition. Title:Towards Automated Melanoma Detection with Deep Learning: Data ...
Pattern Recognition, Automated [methods]. *Reproducibility of Results. *Sensitivity and Specificity. *Substance-Related ...
Pattern recognition and landscape classification methods: * GIS Mapping technologies and landscape ecology: ... Automated environmental monitoring technologies: * Automated animal movement monitoring technologies (GPS, ID Tags): ...
Molecular Dynamics as a pattern recognition tool: an automated process detects peptides that preserve the 3D arrangement of ... Molecular Dynamics as a pattern recognition tool: an automated process detects peptides that preserve the 3D arrangement of ... by applying an integrated framework of automated computer procedures. The following four factors a) D/L chirality, b) different ...
patterns that could indicate fraud. Expert Systems: medical diagnostics. Speech Recognition: automated information services ... Pattern Recognition: forensics--e.g., detecting credit card usage. ...
Automated methods and systems for the detection and analysis of plaque in one or more regions of a patients vasculature are ... the instant methods and systems can be deployed for automated image analysis based on pattern recognition for detecting, ... Pattern recognition techniques are used to perform these comparisons. This information, alone or in conjunction with other data ... As with most pattern recognition examples, there were far more potential candidate variables for inclusion than could ...
Pattern Recognition, Automated • Planning • Poisson Distribution • Programming, Linear • Reconfigurable control of aircraft. • ... Decision-making processes are automated based on concepts drawn from control theory and the life sciences. Recent efforts have ...
Pattern Recognition, Automated • Phylogeny • Picea • Pinus taeda • Plant Leaves • Plants • Polymerase Chain Reaction • ... Kauff, F; Cox, CJ; Lutzoni, F, WASABI: an automated sequence processing system for multigene phylogenies., Systematic Biology, ...
Pattern Recognition, Automated • Sample Size • Signal Processing, Computer-Assisted. Recent Publications (More Publications) * ... Current Projects: Image recognition (funded by NSF), stereo and image motion analysis (funded by SAIC), medical imaging and ... gesture and event recognition.. Keywords: Algorithms • Artificial Intelligence • Cluster Analysis • Computer Graphics • Image ...
Pattern recognition. *Unsupervised deep learning. *Dynamic object tracking. *Multi-object classification. *Automated region ... Standardization of convolutional neural networks and pattern recognition approaches.. iii. Optimized utilization of available ... A large percentage of time and effort of highly trained medical professionals is spent on manual or semi-automated ... Recent developments in neural networks (or deep learning) for visual recognition have attracted the interest of internet search ...
Hybrid Weighted Distance Measures and Their Application to Pattern Recognition. Pages 17-23 ... Range Facial Recognition with the Aid of Eigenface and Morphological Neural Networks ... Intelligent Data Engineering and Automated Learning - IDEAL 2008. Book Subtitle. 9th International Conference Daejeon, South ... Intelligent Data Engineering and Automated Learning - IDEAL 2008. 9th International Conference Daejeon, South Korea, November 2 ...
Then, statistical approaches are used to develop pattern recognition algorithm. Driving patterns are characterized with four ... Automated Diagnostics System Performance Assessment. 2012-01-30. Powertrain Systems development is facing unprecedented ... Real-World Driving Pattern Recognition for Adaptive HEV Supervisory Control: Based on Representative Driving Cycles in ... This paper proposes a real-time driving pattern recognition algorithm for supervisory control under real-world conditions. The ...
24 AUTOMATED PLAUSIBILITY ANALYSIS OF LARGE PHYLOGENIES 457. David Dao, Tomáš Flouri, and Alexandros Stamatakis ... Pattern Recognition in Microarrays, Pattern Recognition in Phylogenetic Trees, and Pattern Recognition in Biological Networks. ... Pattern Recognition in Sequences, Pattern Recognition in Secondary Structures, Pattern Recognition in Tertiary Structures, ... VI PATTERN RECOGNITION IN PHYLOGENETIC TREES 417. 22 PATTERN RECOGNITION IN PHYLOGENETICS: TREES AND NETWORKS 419. David A. ...
Pattern Recognition and Computer Vision scheduled on April 29-30, 2022 in April 2022 in Jerusalem is for the researchers, ... Automated Heart Sound Classification from Unsegmented Phonocardiogram Signals Using Time Frequency Features. Nadia Masood Khan ... Pattern Recognition and Basic Technologies. Statistical Pattern Recognition. Structural and Syntactic Pattern Recognition. ... Pattern Recognition and Computer Vision. ICPRCV 2022: 16. International Conference on Pattern Recognition and Computer Vision ...
The aim was to assess intraobserver reliability of a new semi-automated technique of embryo volumetry. Power calculations ... Pattern Recognition, Automated / methods*. Reproducibility of Results. Sensitivity and Specificity. Ultrasonography, Prenatal ... 6692985 - Pattern regulation in defect embryos of xenopus laevis.. 3605645 - The incidence of tail flexion to the left side in ... The aim was to assess intraobserver reliability of a new semi-automated technique of embryo volumetry. Power calculations ...
  • Automated detection via telemedicine will be useful for monitoring people with AIDS for development of new CMV retinitis lesions and for reactivation of treated lesions in regions of the world where access to ophthalmic care is limited. (arvojournals.org)
  • Automated methods and systems for the detection and analysis of plaque in one or more regions of a patient's vasculature are described. (google.co.uk)
  • The purpose of our study was to compare the detection and quantification of carotid artery atherosclerotic plaque components based on in vivo MR imaging data using manual and automated segmentation. (ajnr.org)
  • Automated detection of radioisotopes from an aircraft platform by pattern recognition analysis of gamma-ray spectra. (nih.gov)
  • Automated detection of transient EEG events (e.g., spikes). (vin.com)
  • Use of reliable MRS‐based patterns could enable earlier detection and, if the scans contain sufficiently distinctive and reliable markers, augment or substitute for histological grading, guide surgical intervention at tumor margins and areas of local invasion, and monitor radiation or chemotherapy progress. (fda.gov)
  • Not only does nSPCT provide better detection rates than competing software, detection rates are provided in an automated fashion. (swri.org)
  • Since the first appearance of commercially available OCT systems automated retinal layer segmentation algorithms were presented to objectively quantify this thickness loss. (uni-erlangen.de)
  • nSPCT provides automated baseline formation and allows for fine tuning the algorithms to meet specific customer needs based on the amount and type of data available. (swri.org)
  • Automating the multivariate statistical analysis process also allows for rapid deployment of new algorithms, which greatly reduces development and implementation costs for the customer. (swri.org)
  • A modern definition of pattern recognition is: The field of pattern recognition is concerned with the automatic discovery of regularities in data through the use of computer algorithms and with the use of these regularities to take actions such as classifying the data into different categories. (wikipedia.org)
  • Pattern recognition systems are in many cases trained from labeled "training" data, but when no labeled data are available other algorithms can be used to discover previously unknown patterns. (wikipedia.org)
  • Pattern recognition algorithms generally aim to provide a reasonable answer for all possible inputs and to perform "most likely" matching of the inputs, taking into account their statistical variation. (wikipedia.org)
  • This is opposed to pattern matching algorithms, which look for exact matches in the input with pre-existing patterns. (wikipedia.org)
  • Methods for numerical description and subsequent classification of cellular protein localization patterns are described. (nih.gov)
  • This interest has been driven by a desire to efficiently analyze visual content in images to help generate searchable tags enabling automated classification of the images. (nih.gov)
  • We consider which attempts offer the most potential for an automated palynology system for universal application across all fields of research concerned with pollen classification and counting. (wiley.com)
  • A pattern recognition model for aerosol classification with atmospheric backscatter lidars is proposed and studied in detail. (spiedigitallibrary.org)
  • Current Projects: Image recognition (funded by NSF), stereo and image motion analysis (funded by SAIC), medical imaging and computer-assisted diagnosis, and object recognition. (duke.edu)
  • A good example is our recent work on object recognition using a novel deep convolutional neural network architecture known as Inception that achieves state-of-the-art results on academic benchmarks and allows users to easily search through their large collection of Google Photos. (google.com)
  • Pattern Recognition can be seen in the context of object recognition and data mining. (leidenuniv.nl)
  • In those cases, however, the map of the video game was provided directly, alleviating the need to deal with real-world perceptual tasks like object recognition and occlusion compensation. (wikipedia.org)
  • Automated methods are desirable because they can remove user bias and can deal with large amounts of data, allowing the use of all the available information. (westminster.ac.uk)
  • In recent years, biometric recognition methods (i.e. use of distinct physiological or behavioral characteristics to uniquely identify individuals), including the usage of iris texture patterns, are being integrated into large-scale authentication systems. (nature.com)
  • All proposed methods are fully automated. (leidenuniv.nl)
  • This book is an essential tool for students and professionals, compiling and explaining proven and cutting-edge methods in pattern recognition for medical imaging"--Provided by publisher. (worldcat.org)
  • Therefore, pattern recognition methods commonly used for microarray data analysis may be non-informative for the data generated by transcript enumeration techniques since they ignore certain fundamental properties of this space. (nih.gov)
  • Our new study is a pilot but it suggests that ultimately doctors might be able to use our pattern recognition software, alongside existing methods, in order to make more accurate assessments about who is most at risk and treat them accordingly. (bio-medicine.org)
  • This book constitutes the refereed proceedings of the 6th Iberian Conference on Pattern Recognition and Image Analysis, IbPRIA 2013, held in Funchal, Madeira, Portugal, in June 2013. (springer.com)
  • Proceedings of 13th International Conference on Pattern Recognition. (wikipedia.org)
  • Mendix performs analysis to detect patterns that may cause issues for applications running in production. (mendix.com)
  • To address these problems, we report on a unified algorithmic framework for automated sensor data quality control, which can identify those parts of the sensor data that are sufficiently reliable for further analysis. (mdpi.com)
  • 4. Apparatus as claimed in claim 1 wherein the network accomplishes direct access by performing multiple spatial scale analysis of temporally evolving input patterns which enhances correct encoding and competitively masks inappropriate encodings. (google.com)
  • Current Projects: Image retrieval, image motion analysis, medical imaging and computer-assisted diagnosis, gesture and event recognition. (duke.edu)
  • 5. A fully automated method according to claim 1 wherein the plurality of stored tissue classifier elements are developed using known outcome data by a process selected from the group consisting of logistic regression, decision trees, non-parametric regression, Fisher discriminant analysis, Bayesian network modeling, and a fuzzy logic system. (google.co.uk)
  • Virtual organ computer-aided analysis (VOCAL) was used to calculate volume of gestation sac (GSV) and yolk sac (YSV) and SonoAVC (sonography-based automated volume count) was used to quantify fluid volume (FV). (biomedsearch.com)
  • IEEE Transactions on Pattern Analysis and Machine Intelligence , 15(12): 1241-1252. (springer.com)
  • We present a nondestructive technique to detect ICs using x-ray microscopy and advanced imaging analysis with different pattern recognition approaches. (osapublishing.org)
  • Automated analysis of normal and glaucomatous optic nerve head topography images. (semanticscholar.org)
  • article{Swindale2000AutomatedAO, title={Automated analysis of normal and glaucomatous optic nerve head topography images. (semanticscholar.org)
  • Automated analysis of heidelberg retina tomograph optic disc images by glaucoma probability score. (semanticscholar.org)
  • We focus on the Computer Science aspects of such analysis, namely pattern recognition. (leidenuniv.nl)
  • The second edition of Pattern Recognition and Signal Analysis in Medical Imaging brings sharp focus to the development of integrated systems for use in the clinical sector, enabling both imaging and the automatic assessment of the resultant data. (worldcat.org)
  • 2019. Grain-Size Analysis of Mudrocks: A New Semi-Automated Method from SEM Images. (springer.com)
  • In addition to tracing management, surveillance and archiving, PeriCALM Plus offers full nursing and physician documentation, automated pattern recognition and labor progress analysis, and decision support protocols. (medgadget.com)
  • Investigation into diagnostic agreement using automated computer-assisted histopathology pattern recognition image analysis. (cancer.gov)
  • Automated Assessment of ER and ki67 in Individual Tumor Cells in Intact Tissue Sections Using Multicolor IHC, Multispectral Imaging, and Pattern-Recognition-Based Image Analysis Software. (aacrjournals.org)
  • A promising area of research is the analysis of multiplexed nuclear proteins on a per-cell basis and the correlation of multi-protein-based cell phenotype statistics with clinical patterns. (aacrjournals.org)
  • Each TMA was imaged with a CRi Vectra TM , an automated multispectral slide analysis system. (aacrjournals.org)
  • A pattern-recognition-based image analysis software, inForm TM , was then used to automatically detect tumor cells in each core, and 'unmix' the overlapping IHC signals using the spectral signatures of each stain. (aacrjournals.org)
  • How Much Can Data Analysis be Automated? (tdan.com)
  • Home / Data Topics / Business Intelligence News, Articles, & Education / How Much Can Data Analysis be Automated? (tdan.com)
  • The question posed by this fact should be equally obvious: how much can data analysis be automated? (tdan.com)
  • Decision-making processes are automated based on concepts drawn from control theory and the life sciences. (duke.edu)
  • All database and infrastructure management, monitoring, and tuning processes are automated. (oracle.com)
  • Data-based process discovery and automated modeling and visualizations of as-is processes - along with artificial intelligence and analytics - provide actionable insights. (sap.com)
  • If for example, you could use AI to automate currently manual or time-consuming processes, such as analyzing tables, data visualizations, and producing reports, you could erase a lot of labor and time from your process. (domo.com)
  • Artificial intelligence is what allows developers to program systems to carry out complex tasks ranging from face recognition to self-driving cars. (domo.com)
  • Standardization of convolutional neural networks and pattern recognition approaches. (nih.gov)
  • 3. A fully automated method according to claim 1 wherein the processable data are generated by pre-processing raw data generated by the medical imaging system. (google.co.uk)
  • 4. A fully automated method according to claim 3 further comprising normalizing the processable data prior to computationally processing the processable data. (google.co.uk)
  • This book constitutes the refereed proceedings of the 9th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2008, held in Daejeon, Korea, in November 2008. (springer.com)
  • A method and system of automating capture of electronic data provide a user with an effective universal Internet identity and e-mail address, comprehensive e-mail filtering and forwarding services, and e-receipt identification and data extraction. (google.co.uk)
  • Can data driven analytics go beyond automated history matching and pattern recognition? (spe.org)
  • In this session, industry experts share their experiences in analyzing filed data with AI and ML to undestand complex patterns and build predictive models which are used to optimize drilling, completion and field development operations. (spe.org)
  • Available for licensing and commercial development is a system for preprocessing magnetic resonance spectroscopy (MRS) data of brain tissue for pattern-based diagnostics. (fda.gov)
  • Automated downloads of historical stock price data. (datashaping.com)
  • State-of-the-art pattern recognition for stock market data. (datashaping.com)
  • 3. The method of claim 1 , wherein the input file is an experimentally recorded data trace recorded from an automated DNA sequencer. (google.com.au)
  • Machine learning takes AI one step further by actually teaching computers to recognize patterns and understand data, and then analyzing the data across large data sets very quickly. (domo.com)
  • Drones with onboard sensors and cameras can easily capture aerial images, which can, in turn, generate data on everything from traffic patterns to land density and other crucial metrics. (domo.com)
  • Adding drone data to existing business data gives analysts a window into new patterns and untapped insights. (domo.com)
  • Pattern recognition is the automated recognition of patterns and regularities in data. (wikipedia.org)
  • some modern approaches to pattern recognition include the use of machine learning, due to the increased availability of big data and a new abundance of processing power. (wikipedia.org)
  • A common example of a pattern-matching algorithm is regular expression matching, which looks for patterns of a given sort in textual data and is included in the search capabilities of many text editors and word processors. (wikipedia.org)
  • Unsupervised learning, on the other hand, assumes training data that has not been hand-labeled, and attempts to find inherent patterns in the data that can then be used to determine the correct output value for new data instances. (wikipedia.org)
  • Images representing the localization patterns of 4 proteins and DNA were obtained using fluorescence microscopy and divided into distinct training and test sets. (nih.gov)
  • In this paper, we develop a new methodology for multiple large-area imaging using scanning electron microscopy through automated acquisition and stitching from polished thin-sections and ion-milled samples. (springer.com)
  • Use of Automated Image Acquisition and Stitching in Scanning Electron Microscopy: Imaging of Large Scale Areas of Materials at High Resolution. (springer.com)
  • This method and apparatus for automated differential diagnosis of illness utilizes neural network technology to analyze information that has been collected and assimilated from multiple sources, including information concerning lifestyle and travel habits, occupational and environmental risks and other contributory factors, and compares this information to, and incorporates it into, databases, to render diagnoses as well as alerts regarding anomalous concentrations of illnesses. (freepatentsonline.com)
  • Recent developments in neural networks (or deep learning) for visual recognition have attracted the interest of internet search engines and social media sites. (nih.gov)
  • The success of the (healthy) iris pattern as a biometric characteristic has led to the initiation of several large-scale biometric recognition systems, of which India's Aadhaar program 8 is the largest and best known. (nature.com)
  • Diagnosis may be based on a combination of variables, 1 2 but the most dependable single index is probably the identification of a characteristic pattern of visual field defects. (arvojournals.org)
  • A non-comparative non-randomized cohort study is performed on the iris texture patterns in CaSD and authentication performance is studied using three biometric recognition systems. (nature.com)
  • This finding raises concerns about the reliability of iris-based biometric recognition systems in the context of subjects undergoing cataract surgery. (nature.com)
  • The effects of developing complications such as anterior uveitis, iritis, macular coloboma, or cataract may cause recognition systems to fail. (nature.com)
  • Automated Systems g. (aarkstore.com)
  • Pattern Recognition Systems d. (aarkstore.com)
  • We discuss what is required to make the datasets of these automated systems as acceptable as those produced by human palynologists, and present suggestions for how automation will generate novel approaches to counting and classifying pollen that have hitherto been unthinkable. (wiley.com)
  • 1) What developmental package or tools did you who trade futures, use to create your automated systems and what did you use to back test them? (elitetrader.com)
  • In recent years, our computers have become much better at such tasks, enabling a variety of new applications such as: content-based search in Google Photos and Image Search, natural handwriting interfaces for Android, optical character recognition for Google Drive documents, and recommendation systems that understand music and YouTube videos. (google.com)
  • AI systems excel in pattern recognition, so much so that they can stalk individual zebrafish and fruit flies even when the animals are in groups of up to a hundred. (theregister.co.uk)
  • nSPCT automates the monitoring of complex systems by analyzing each parameter and parameter relationship from individual systems without needing prior knowledge of a system's expected failure modes. (swri.org)
  • Artificial intelligence is expected to greatly expand the ability of robots and automated systems to learn, combine work functions and think outside the box. (shrm.org)
  • For example, at many organizations, highly automated systems provide employees with financial planning advice that once was available to only the largest employers using wealth management firms with hundreds of advisors. (shrm.org)
  • 2. A fully automated method according to claim 1 wherein the blood vessel comprises a portion of the vasculature supplying blood to an organ selected from the group consisting of a brain and a heart, wherein when the brain is the organ the blood vessel is a carotid artery and wherein when the heart is the organ the blood vessel is a coronary artery, further wherein the patient is human. (google.co.uk)
  • 6. A fully automated method according to claim 5 wherein at least one of the plurality of stored tissue classifier elements is determined by a process selected from the group consisting of post-operative histological examination, direct tissue inspection, and labeling by one or more experts. (google.co.uk)
  • Fully automated segmentation of the brain in MRI. (springer.com)
  • EQClinic provides fully automated calendaring and video conferencing features for doctors or medical students to interview patients. (frontiersin.org)
  • This book surveys the developments of techniques and approaches on pattern recognition related to Computational Molecular Biology. (wiley.com)
  • Pattern Recognition in Computational Molecular Biology: Techniques and Approaches is a reference for practitioners and professional researches in Computer Science, Life Science, and Mathematics. (wiley.com)
  • The Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition ( DSM-5, 2013 ) identifies two main criteria for diagnosing ASD: (a) persistent deficits in social communication and social interaction across contexts, and (b) restricted, repetitive patterns of behavior, interests, and/or activities. (frontiersin.org)
  • This greatly increases the diagnostic capability for the end user by automating the early diagnostic steps. (swri.org)
  • Statistical pattern recognition with its applications to such areas as optical character recognition. (ufl.edu)
  • The k -fold cross-validation method is employed in the process of classifier designing to choose the proper decision rule, which is mainly based on statistical pattern recognition theory. (spiedigitallibrary.org)
  • It eliminates many common formatting errors, and automates actions such as calculation of sequence lengths and composition, thus facilitating curation of Repbase sequences. (nih.gov)
  • Pattern Recognition in Sequences , Pattern Recognition in Secondary Structures , Pattern Recognition in Tertiary Structures, Pattern Recognition in Quaternary Structures, Pattern Recognition in Microarrays , Pattern Recognition in Phylogenetic Trees, and Pattern Recognition in Biological Networks . (wiley.com)
  • The aim is not so much to match or exceed humans' ability to spot and follow stuff, but rather to automate the process of studying the behavior of animals in their communities. (theregister.co.uk)
  • Sometimes this process can be automated, and sometimes humans have to manually label the pictures. (theregister.co.uk)
  • 2017. Quantifying Porosity through Automated Image Collection and Batch Image Processing: Case Study of Three Carbonates and an Aragonite Cemented Sandstone. (springer.com)
  • Business leaders expect that 17 percent of work will be automated by 2020, according to the 2017 Global Future of Work Survey report from Willis Towers Watson. (shrm.org)
  • The In-Sight vision system also is much easier to program because its PatMax® pattern matching algorithm easily finds the printed image with a single command. (cognex.com)
  • The PatMax pattern recognition algorithm looks for the printed image regardless of its location in the image acquired by the camera. (cognex.com)
  • We describe EQClinic, a system that combines a tele-health platform with automated non-verbal behavior recognition. (frontiersin.org)
  • Take advantage of automated and manual response capabilities. (sap.com)
  • Thus the masking field embodies a real-time code to process the predictive evidence contained within its input patterns. (google.com)
  • I/we allow Agile testing alliance to use the content for social media marketing, publishing it on ATA Blog or ATA social medial channels(Provided due credit is given to me/us) Which process should we automate? (slideshare.net)
  • These guys have applied stochastic computing to the process of pattern recognition. (technologyreview.com)
  • nSPCT removes this requirement by providing comprehensive, automated assumption checks using newly developed, quantifiable metrics. (swri.org)
  • This tissue-cytometry-level detail about protein expression state may offer additional metrics upon which to base correlations with clinical patterns. (aacrjournals.org)
  • c) comparing said first and second transformation matrices to detect patterns in the original image matrix. (google.com)
  • An autonomous database is a cloud database that uses machine learning to automate database tuning, security, backups, updates, and other routine management tasks traditionally performed by DBAs. (oracle.com)
  • Decision-making tasks can be automated with cognitive automation. (slideshare.net)
  • In this paper we have presented an automated method to detect hyperspectral targets using Linear Mixing Model (LMM) [4]. (spie.org)
  • A large percentage of time and effort of highly trained medical professionals is spent on manual or semi-automated identification of regions of interest. (nih.gov)
  • A novel technique for the semi-automated measurement of embryo volume: an intraobserver reliability study. (biomedsearch.com)
  • The aim was to assess intraobserver reliability of a new semi-automated technique of embryo volumetry. (biomedsearch.com)
  • The new semi-automated 3-D technique provides reliable measures of embryo volume. (biomedsearch.com)
  • Mining 3D Key-Pose-Motifs for Action Recognition. (jhu.edu)
  • MRS has shown promise since patterns indicative of abnormal tissue appear in brain MRS scans while the corresponding MRIs still appear normal. (fda.gov)
  • Perigen , a company out of Princeton, NJ, is now offering PeriCALM Plus software that automatically monitors labor progress and fetal heart rate for abnormal patterns, calculates Montevideo units, and provides immediate warnings and visual cues during important events. (medgadget.com)
  • The formation of iris patterns is determined by random events in the development of morphological structures in the component tissue and the resultant discriminative nature of the iris pattern serves as a reliable basis for person authentication 7 . (nature.com)
  • The effectiveness demonstrated in this report supports the application of this powerful new tool to molecular epidemiological investigations, to help reveal correlations between outcomes and complex protein expression patterns in tissue sections. (aacrjournals.org)
  • It originated in engineering, and the term is popular in the context of computer vision: a leading computer vision conference is named Conference on Computer Vision and Pattern Recognition. (wikipedia.org)
  • Automated segmentation was performed in the study group by a supervised classifier trained on images from the training group of patients. (ajnr.org)
  • ONH images can be classified objectively and dependably by an automated procedure that does not require prior manual outlining of disc boundaries. (arvojournals.org)
  • This work explores the ability of such molecules to preserve the 3D geometry of the Trypsin's Active Site (TAS) by applying an integrated framework of automated computer procedures. (uoi.gr)
  • The network F 2 activates compressed recognition close that are predictive with respect to the activation patterns flickering across F 1 , and competitively inhibits, or masks, codes which are unpredictive with respect to the F 1 patterns. (google.com)
  • The masking field can simultaneously detect multiple groupings within its input patterns and assign activation weights to the recognition codes for these groupings which are predictive with respect to the contextual information embedded within the patterns and the prior learning of the network. (google.com)
  • An automated system has the potential to not only save time and money, but also open up further opportunities to propel pollen-based research in directions that would not otherwise be possible. (wiley.com)
  • How to begin with an automated system? (elitetrader.com)
  • 4) Have any of you hired any programmers to help design your automated system or does everyone do it themselves. (elitetrader.com)
  • The introduction of computing machinery and its subsequent growth in power has eaten into both of these areas, automating increasing amounts of manual work and claiming previously unfeasible work as computer-only work. (tdan.com)
  • aims to bring together leading academic scientists, researchers and research scholars to exchange and share their experiences and research results on all aspects of Pattern Recognition and Computer Vision. (waset.org)
  • Also, high quality research contributions describing original and unpublished results of conceptual, constructive, empirical, experimental, or theoretical work in all areas of Pattern Recognition and Computer Vision are cordially invited for presentation at the conference. (waset.org)
  • ICPRCV 2022 has teamed up with the Special Journal Issue on Pattern Recognition and Computer Vision . (waset.org)
  • The papers are organized in topical sections on computer vision, pattern recognition, image and signal, applications. (springer.com)
  • I currently trade futures through ninjatrader, and would like to automate some of my trades. (elitetrader.com)
  • Creating a black box with automated trades. (datashaping.com)
  • Review of MR image segmentation techniques using pattern recognition. (springer.com)
  • Furthermore, we provide evidence that a single torso sensor can automatically detect multiple types of SMM in ASD, and that our approach allows recognition of SMM with high accuracy in individuals when using a person-independent classifier. (frontiersin.org)
  • 6) Once you are automated, how do you have the signals send orders to your account and do you have the broker run the software on their servers or you run it through your computer. (elitetrader.com)
  • This will provide not only a new automated way to describe proteins, based on localization rather than sequence, but also has potential application in the automation of microscope functions and in the field of gene discovery. (nih.gov)