Search results for " Computer-Aided design"

showing 10 items of 232 documents

Rocker: Open source, easy-to-use tool for AUC and enrichment calculations and ROC visualization

2016

Receiver operating characteristics (ROC) curve with the calculation of area under curve (AUC) is a useful tool to evaluate the performance of biomedical and chemoinformatics data. For example, in virtual drug screening ROC curves are very often used to visualize the efficiency of the used application to separate active ligands from inactive molecules. Unfortunately, most of the available tools for ROC analysis are implemented into commercially available software packages, or are plugins in statistical software, which are not always the easiest to use. Here, we present Rocker, a simple ROC curve visualization tool that can be used for the generation of publication quality images. Rocker also…

0301 basic medicineComputer scienceautomatic calculationLibrary and Information Sciencescomputer.software_genre01 natural sciences03 medical and health sciencesSoftwareArea under curvePlug-inPhysical and Theoretical ChemistryVirtual screeningReceiver operating characteristicbusiness.industryComputer Graphics and Computer-Aided Design0104 chemical sciencesComputer Science ApplicationsVisualizationreceiver operating characteristics010404 medicinal & biomolecular chemistryIdentification (information)ComputingMethodologies_PATTERNRECOGNITION030104 developmental biologyarea under curvesRockerCheminformaticsData miningbusinesscomputerSoftwaresoftwaresJournal of Cheminformatics
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Conf-VLKA: A structure-based revisitation of the Virtual Lock-and-key Approach

2016

In a previous work, we developed the in house Virtual Lock-and-Key Approach (VLKA) in order to evaluate target assignment starting from molecular descriptors calculated on known inhibitors used as an information source. This protocol was able to predict the correct biological target for the whole dataset with a good degree of reliability (80%), and proved experimentally, which was useful for the target fishing of unknown compounds. In this paper, we tried to remodel the previous in house developed VLKA in a more sophisticated one in order to evaluate the influence of 3D conformation of ligands on the accuracy of the prediction. We applied the same previous algorithm of scoring and ranking b…

0301 basic medicineMaterials Chemistry2506 Metals and AlloysInhibitorStructure-basedComputer scienceProtein ConformationProtein Data Bank (RCSB PDB)Molecular ConformationTarget fishingMolecular Dynamics Simulationcomputer.software_genreLigands01 natural sciencesDockingVlka03 medical and health sciencesMolecular descriptorMaterials ChemistryHumansPhysical and Theoretical ChemistryCluster analysisDatabases ProteinSimulationSpectroscopyBinding SitesProteinscomputer.file_formatDescriptorProtein Data BankComputer Graphics and Computer-Aided Design0104 chemical sciencesMolecular Docking Simulation010404 medicinal & biomolecular chemistry030104 developmental biologyProtein–ligand dockingBiological targetDocking (molecular)Biological targetStructure basedLigand-basedData miningcomputerAlgorithmsSoftwareProtein Binding
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Identification of estrogen receptor α ligands with virtual screening techniques.

2016

Utilization of computer-aided molecular discovery methods in virtual screening (VS) is a cost-effective approach to identify novel bioactive small molecules. Unfortunately, no universal VS strategy can guarantee high hit rates for all biological targets, but each target requires distinct, fine-tuned solutions. Here, we have studied in retrospective manner the effectiveness and usefulness of common pharmacophore hypothesis, molecular docking and negative image-based screening as potential VS tools for a widely applied drug discovery target, estrogen receptor α (ERα). The comparison of the methods helps to demonstrate the differences in their ability to identify active molecules. For example,…

0301 basic medicineModels MolecularQuantitative structure–activity relationshipMolecular ConformationQuantitative Structure-Activity RelationshipComputational biologyMolecular Dynamics Simulationta3111BioinformaticsLigands01 natural sciencesMolecular Docking SimulationSmall Molecule Libraries03 medical and health sciencesestrogen receptor alphaDrug DiscoveryMaterials ChemistryHumansComputer SimulationPhysical and Theoretical ChemistrySpectroscopy3D-QSARVirtual screeningDrug discoveryChemistryta1182Estrogen Receptor alphaSmall Molecule LibrariesReproducibility of Resultsmolecular dockingvirtual screeningComputer Graphics and Computer-Aided DesignSmall molecule0104 chemical sciencesMolecular Docking Simulation010404 medicinal & biomolecular chemistry030104 developmental biologyArea Under Curvepharmacophore modelingligand discoverynegative imagePharmacophoreEstrogen receptor alphaJournal of molecular graphicsmodelling
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QuBiLS-MAS, open source multi-platform software for atom- and bond-based topological (2D) and chiral (2.5D) algebraic molecular descriptors computati…

2017

Background In previous reports, Marrero-Ponce et al. proposed algebraic formalisms for characterizing topological (2D) and chiral (2.5D) molecular features through atom- and bond-based ToMoCoMD-CARDD (acronym for Topological Molecular Computational Design-Computer Aided Rational Drug Design) molecular descriptors. These MDs codify molecular information based on the bilinear, quadratic and linear algebraic forms and the graph-theoretical electronic-density and edge-adjacency matrices in order to consider atom- and bond-based relations, respectively. These MDs have been successfully applied in the screening of chemical compounds of different therapeutic applications ranging from antimalarials…

0301 basic medicineTheoretical computer scienceComputer scienceBilinear interpolationLibrary and Information SciencesTopologyLinear01 natural scienceslcsh:ChemistryToMoCoMD-CARDDDouble stochastic03 medical and health sciencesMatrix (mathematics)SoftwareQuadratic equationMolecular descriptorAtom/bond-based molecular descriptorPhysical and Theoretical ChemistryAlgebraic numberSimple stochasticFree and open source softwarelcsh:T58.5-58.64lcsh:Information technologybusiness.industryQSARMutual probability matricesComputer Graphics and Computer-Aided DesignRotation formalisms in three dimensions0104 chemical sciencesComputer Science Applications010404 medicinal & biomolecular chemistry030104 developmental biologylcsh:QD1-999CheminformaticsBilinear and quadratic indicesbusinessNon-stochasticSoftwareQuBiLS-MASJournal of cheminformatics
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An Efficient Cooperative Smearing Technique for Degraded Historical Documents Images Segmentation

2020

Segmentation is one of the critical steps in historical document image analysis systems that determines the quality of the search, understanding, recognition and interpretation processes. It allows isolating the objects to be considered and separating the regions of interest (paragraphs, lines, words and characters) from other entities (figures, graphs, tables, etc.). This stage follows the thresholding, which aims to improve the quality of the document and to extract its background from its foreground, also for detecting and correcting the skew that leads to redress the document. Here, a hybrid method is proposed in order to locate words and characters in both handwritten and printed docu…

050101 languages & linguisticsComputer sciencemedia_common.quotation_subject02 engineering and technologyImage (mathematics)Interpretation (model theory)[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]0202 electrical engineering electronic engineering information engineering0501 psychology and cognitive sciencesSegmentationQuality (business)ComputingMilieux_MISCELLANEOUSmedia_commonbusiness.industrySmearing technique05 social sciencesPattern recognitionImage segmentationHybrid approachComputer Graphics and Computer-Aided DesignComputer Science Applications020201 artificial intelligence & image processingComputer Vision and Pattern RecognitionArtificial intelligencebusinessHistorical document
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Accurate estimation of retinal vessel width using bagged decision trees and an extended multiresolution Hermite model.

2012

We present an algorithm estimating the width of retinal vessels in fundus camera images. The algorithm uses a novel parametric surface model of the cross-sectional intensities of vessels, and ensembles of bagged decision trees to estimate the local width from the parameters of the best-fit surface. We report comparative tests with REVIEW, currently the public database of reference for retinal width estimation, containing 16 images with 193 annotated vessel segments and 5066 profile points annotated manually by three independent experts. Comparative tests are reported also with our own set of 378 vessel widths selected sparsely in 38 images from the Tayside Scotland diabetic retinopathy scre…

Accurate estimationComputer scienceStability (learning theory)Decision treeHealth Informaticscomputer.software_genreSensitivity and SpecificityPattern Recognition AutomatedSet (abstract data type)Parametric surfaceImage Interpretation Computer-AssistedHumansRadiology Nuclear Medicine and imagingFluorescein AngiographyHermite polynomialsDiabetic RetinopathySettore INF/01 - InformaticaRadiological and Ultrasound TechnologyReproducibility of ResultsRetinal VesselsImage EnhancementComputer Graphics and Computer-Aided DesignData setComputer Vision and Pattern RecognitionData miningRetinal images Vessel width Multiresolution Hermite model Ensembles of bagged decision trees Medical image analysiscomputerAlgorithmsTest dataRetinoscopyMedical image analysis
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Using Augmented Reality to Treat Phobias

2005

Virtual reality (VR) is useful for treating several psychological problems, including phobias such as fear of flying, agoraphobia, claustrophobia, and phobia to insects and small animals. We believe that augmented reality (AR) could also be used to treat some psychological disorders. AR and VR share some advantages over traditional treatments. However, AR gives a greater feeling of presence (the sensation of being there) and reality judgment (judging an experience as real) than VR because the environment and the elements the patient uses to interact with the application are real. Moreover, in AR users see their own hands, feet, and so on, whereas VR only simulates this experience. With thes…

AdultMaleComputer sciencemedia_common.quotation_subjectCockroachesVirtual realitycomputer.software_genreFear of flyingUser-Computer InterfaceSensationComputer GraphicsmedicineAnimalsHumansComputer Simulationmedia_commonPhobiasMultimediaSpidersModels Theoreticalmedicine.diseaseComputer Graphics and Computer-Aided DesignTreatment OutcomeMultimediaPhobic DisordersFeelingTherapy Computer-AssistedClaustrophobiaFemaleAugmented realityDesensitization PsychologiccomputerSoftwareCognitive psychologyAgoraphobiaIEEE Computer Graphics and Applications
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Skull Bone Defects Reconstruction with Custom-Made Titanium Graft shaped with Electron Beam Melting Technology: Preliminary Experience in a Series of…

2017

Background: Cranioplasty represents a challenge in neurosurgery. Its goal is not only plastic reconstruction of the skull but also to restore and preserve cranial function, to improve cerebral hemodynamics, and to provide mechanical protection of the neural structures. The ideal material for the reconstructive procedures and the surgical timing are still controversial. Many alloplastic materials are available for performing cranioplasty and among these, titanium still represents a widely proven and accepted choice. Methods: The aim of our study was to present our preliminary experience with a “custom-made” cranioplasty, using electron beam melting (EBM) technology, in a series of ten patien…

AdultMaleDecompressive Craniectomymedicine.medical_treatmentchemistry.chemical_elementDentistryNeurosurgical ProceduresCranioplasty030218 nuclear medicine & medical imagingProsthesis Implantation03 medical and health sciencesImaging Three-Dimensional0302 clinical medicineFreezingElectron beam melting technologymedicineHumansSkull boneReconstructive Surgical ProceduresCustom-made titanium implantsAgedRetrospective StudiesTitaniumSettore MED/27 - Neurochirurgiabusiness.industrySkullMiddle AgedCranioplastySkullmedicine.anatomical_structurechemistry3D computer-aided design and computer-aided manufacturing (CAD/CAM) technologiesCerebral hemodynamicsComputer-Aided DesignFemaleSkull bone defectsTomography X-Ray Computedbusiness030217 neurology & neurosurgeryTitaniumBiomedical engineering
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Digital Mosaic Frameworks - an overview

2007

Art often provides valuable hints for technological innovations especially in the field of Image Processing and Computer Graphics. In this paper we survey in a unified framework several methods to transform raster input images into good quality mosaics. For each of the major different approaches in literature the paper reports a short description and a discussion of the most relevant issues. To complete the survey comparisons among the different techniques both in terms of visual quality and computational complexity are provided.

Architecture Fine Arts Picture/Image GenerationThesaurus (information retrieval)MultimediaComputer sciencemedia_common.quotation_subjectNon-Photo-realistic RenderingMosaic (geodemography)Image processingcomputer.file_formatcomputer.software_genreComputer Graphics and Computer-Aided DesignData scienceMosaicField (computer science)Computer graphicsArtificial Mosaic; Non-Photo-realistic RenderingArtificial MosaicQuality (business)Raster graphicscomputermedia_common
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LogDet divergence-based metric learning with triplet constraints and its applications.

2014

How to select and weigh features has always been a difficult problem in many image processing and pattern recognition applications. A data-dependent distance measure can address this problem to a certain extent, and therefore an accurate and efficient metric learning becomes necessary. In this paper, we propose a LogDet divergence-based metric learning with triplet constraints (LDMLT) approach, which can learn Mahalanobis distance metric accurately and efficiently. First of all, we demonstrate the good properties of triplet constraints and apply it in LogDet divergence-based metric learning model. Then, to deal with high-dimensional data, we apply a compressed representation method to learn…

AutomatedData InterpretationBiometryFeature extractionhigh dimensional datametric learningPattern RecognitionFacial recognition systemSensitivity and SpecificityMatrix decompositionPattern Recognition Automatedcompressed representationComputer-AssistedArtificial Intelligencecompressed representation; high dimensional data; LogDet divergence; metric learning; triplet constraint; Artificial Intelligence; Biometry; Data Interpretation Statistical; Face; Humans; Image Enhancement; Image Interpretation Computer-Assisted; Pattern Recognition Automated; Photography; Reproducibility of Results; Sensitivity and Specificity; Algorithms; Facial Expression; Software; Medicine (all); Computer Graphics and Computer-Aided DesignImage Interpretation Computer-AssistedPhotographyHumansDivergence (statistics)Image retrievalImage InterpretationMathematicsMahalanobis distancebusiness.industryLogDet divergenceMedicine (all)Reproducibility of ResultsPattern recognitionStatisticalImage EnhancementComputer Graphics and Computer-Aided DesignFacial ExpressionComputingMethodologies_PATTERNRECOGNITIONComputer Science::Computer Vision and Pattern RecognitionData Interpretation StatisticalFaceMetric (mathematics)Pattern recognition (psychology)Artificial intelligencetriplet constraintbusinessSoftwareAlgorithmsIEEE transactions on image processing : a publication of the IEEE Signal Processing Society
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