Search results for "ndc"

showing 10 items of 1025 documents

A Geometric Approach to Automatic Description of Iconic Scenes

2005

It is proposed a step towards the automatic description of scenes with a geometric approach. The scenes considered are composed by a set of elements that can be geometric forms or iconic representation of objects. Every icon is characterized by a set of attributes like shape, colour, position, orientation. Each scene is related to a set of sentences describing its content. The proposed approach builds a data driven vector semantic space where the scenes and the sentences are mapped. Sentences and scene with the same meaning are mapped in near vectors and distance criteria allow retrieving semantic relations.

Latent semantic analysisComputer sciencebusiness.industryOrientation (computer vision)ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONScene statisticsiconic scenes semantic relationshipSemanticsSet (abstract data type)Position (vector)Computer visionArtificial intelligenceRepresentation (mathematics)businessSentenceComputingMethodologies_COMPUTERGRAPHICS
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Review on Machine Learning Based Lesion Segmentation Methods from Brain MR Images

2016

Brain lesions are life threatening diseases. Traditional diagnosis of brain lesions is performed visually by neuro-radiologists. Nowadays, advanced technologies and the progress in magnetic resonance imaging provide computer aided diagnosis using automated methods that can detect and segment abnormal regions from different medical images. Among several techniques, machine learning based methods are flexible and efficient. Therefore, in this paper, we present a review on techniques applied for detection and segmentation of brain lesions from magnetic resonance images with supervised and unsupervised machine learning techniques.

Lesion segmentationmedicine.diagnostic_testbusiness.industryComputer scienceFeature extractionComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONMagnetic resonance imagingPattern recognitionImage segmentationMachine learningcomputer.software_genre030218 nuclear medicine & medical imaging03 medical and health sciences0302 clinical medicineComputer-aided diagnosisHistogrammedicineUnsupervised learningSegmentationComputer visionArtificial intelligencebusinesscomputer030217 neurology & neurosurgery2016 15th IEEE International Conference on Machine Learning and Applications (ICMLA)
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A LiDAR Prototype with Silicon Photomultiplier and MEMS Mirrors

2018

In this paper, we present a low cost prototype of a Time-Of-Flight (TOF) LiDAR system, employing a SiPM as photo detector and MEMS mirrors in order to steer the nanosecond pulsed optical beam with a scanning angle of +/-6°. Preliminary TOF measurements have been performed both indoor and outdoor to test the limits of the system.

LiDARMaterials scienceSiPMInstrumentationOptical beamComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONEnergy Engineering and Power TechnologyPhotodetectorSettore ING-INF/01 - ElettronicaIndustrial and Manufacturing EngineeringOpticsSilicon photomultiplierArtificial IntelligenceSilicon PhotomultiplierInstrumentationMicroelectromechanical systemsRenewable Energy Sustainability and the Environmentbusiness.industryTOFComputer Science Applications1707 Computer Vision and Pattern RecognitionNanosecondMEMSComputer Networks and CommunicationLidarbusinessLiDAR TOF SiPM Silicon Photomultiplier MEMS2018 IEEE 4th International Forum on Research and Technology for Society and Industry (RTSI)
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Implementations of a novel algorithm for colour constancy

1997

AbstractIn agreement with the principles of the relativistic model proposed by Creutzfeldtet al., with the photometric rule (lightness anchoring rule) and with the influence of simultaneous contrast in the appearance of a visual scene, we propose a first-stage mechanism yielding substantial colour constancy. We have defined a set of first-stage colour descriptors, and to test their utility, we have performed a simulation using a Machine Vision System (MVS). The statistical stability of the descriptors for Munsell samples under different illuminants is good.

LightnessColor visionComputer sciencemedia_common.quotation_subjectModels NeurologicalComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONAdaptation (eye)Colour constancySet (abstract data type)OpticsHumansContrast (vision)media_commonbusiness.industryChromatic adaptationPattern recognitionComputer simulationSensory SystemsMachine vision systemOphthalmologySpectrophotometryPhotometric ruleChromatic adaptationSimultaneous contrastArtificial intelligencebusinessAlgorithmsColor PerceptionVision Research
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The problem of spatial homogeneity in an LCoS projector

2019

Abstract Video projectors allow interesting applications in vision sciences since they provide a large projection area. We have colorimetrically characterized a LCoS projector using a mathematical model requiring additivity and constancy of the primaries -a sigmoid function in our case. Significant differences in chromaticity in the CIELAB space, but not in lightness, were found between the center and the corners of the screen. The lack of spatial homogeneity led us to estimate the parameters of the model as a function of spatial position, using different strategies. The best result was obtained by interpolating the values of the parameters of the model determined from experimental measurem…

LightnessComputer scienceCharacterizationColor reproductionComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION02 engineering and technology01 natural scienceslaw.invention010309 opticsPosition (vector)law0103 physical sciencesComputer visionLCoS projectorElectrical and Electronic EngineeringChromaticityProjection (set theory)ÓpticaSpatial homogeneitybusiness.industrySigmoid function021001 nanoscience & nanotechnologyGridAtomic and Molecular Physics and OpticsElectronic Optical and Magnetic MaterialsLiquid crystal on siliconProjectorCalibrationArtificial intelligence0210 nano-technologybusiness
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Eye tracking and the translation process: reflections on the analysis and interpretation of eye-tracking data

2014

Eye tracking has become increasingly popular as a quantitative research method in translation research. This paper discusses some of the major methodological issues involved in the use of eye tracking in translation research. It focuses specifically on challenges in the analysis and interpretation of eye-tracking data as reflections of cognitive processes during translation. Four types of methodological issues are discussed in the paper. The first part discusses the preparatory steps that precede the actual recording of eye-tracking data. The second part examines critically the general assumptions linking eye movements to cognitive processing in the context of translation research. The thir…

Linguistics and LanguageEngineering drawingTranslationTraducciónProcess (engineering)ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONContext (language use)Translation (geometry)Language and LinguisticsEducationInformationSystems_MODELSANDPRINCIPLESHuman–computer interactionQuantitative researchIndicatorsAssumptionsUNESCO::CIENCIAS DE LAS ARTES Y LAS LETRASEye trackingTraducción; Seguimiento ocular; Hipótesis; Calidad de los datos; IndicadoresInterpretation (philosophy)Data qualityTraducción e InterpretaciónEye movementCognitionCalidad de los datosGeographyIndicadoresTranslation; Eye tracking; Assumptions; Data quality; Indicators:CIENCIAS DE LAS ARTES Y LAS LETRAS [UNESCO]Seguimiento ocularEye trackingHipótesis
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Fibronectin Type III Domain–Containing Protein 5 rs3480 A>G Polymorphism, Irisin, and Liver Fibrosis in Patients With Nonalcoholic Fatty Liver Dis…

2017

Context Contrasting data have been reported on the role of irisin, a novel myokine encoded by the fibronectin type III domain-containing protein 5 (FNDC5) gene, in nonalcoholic fatty liver disease (NAFLD) pathogenesis. We tested in patients with suspected nonalcoholic steatohepatitis (NASH) the association of FNDC5 variants, hepatic expression, and circulating irisin with liver damage (F2 to F4 fibrosis as main outcome). We also investigated whether irisin modulates hepatocellular fat accumulation and stellate cell activation in experimental models. Methods We considered 593 consecutive patients who underwent liver biopsy for suspected NASH and 192 patients with normal liver enzymes and wit…

Liver CirrhosisMale0301 basic medicineEndocrinology Diabetes and MetabolismClinical BiochemistrySeverity of Illness IndexBiochemistryGastroenterologyMiceEndocrinologyNon-alcoholic Fatty Liver DiseaseFibrosisNonalcoholic fatty liver diseaseOdds RatioProspective StudiesCarbon Tetrachloridemedicine.diagnostic_testReverse Transcriptase Polymerase Chain ReactionHep G2 CellsMiddle AgedFNDC5LiverLiver biopsyFemaleAdultmedicine.medical_specialtyIn Vitro TechniquesDiet High-FatReal-Time Polymerase Chain ReactionPolymorphism Single Nucleotide03 medical and health sciencesDiabetes mellitusInternal medicineMyokineHepatic Stellate CellsmedicineAnimalsHumansFNDC5 IRISIN NAFLDGenetic Predisposition to Diseasebusiness.industryBiochemistry (medical)medicine.diseasedigestive system diseasesFibronectins030104 developmental biologyEndocrinologyCase-Control StudiesHepatic stellate cellSteatosisbusinessThe Journal of Clinical Endocrinology & Metabolism
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Collaborative Virtual Reality for Laparoscopic Liver Surgery Training

2019

Virtual reality (VR) has been used in many medical training systems for surgical procedures. However, the current systems are limited due to inadequate interactions, restricted possibilities of patient data visualization, and collaboration. We propose a collaborative VR system for laparoscopic liver surgical planning and simulation. Medical image data is used for model visualization and manipulation. Additionally, laparoscopic surgical joysticks are used to provide an opportunity for a camera assistant to cooperate with an experienced surgeon in VR. Continuous clinical feedback led us to optimize the visualization, synchronization, and interactions of the system. Laparoscopic surgeons were …

Liver surgery0209 industrial biotechnologygenetic structuresbusiness.industryComputer scienceComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONUsability02 engineering and technologyVirtual realitySurgical planningVisualization020901 industrial engineering & automationHuman–computer interactionSynchronization (computer science)0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingCollaborative virtual realitybusiness2019 IEEE International Conference on Artificial Intelligence and Virtual Reality (AIVR)
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A collaborative virtual reality environment for liver surgery planning

2021

Abstract Surgical planning software is a key component in the treatment of tumor diseases. However, desktop-based systems provide only limited visualization and interaction opportunities. Moreover, collaborative planning among members of a surgical team is only possible to a limited extent. In this work, a collaborative virtual reality (VR) environment to assist liver surgeons in tumor surgery planning is presented. Our aim is to improve virtual resection planning between surgeons in a remote or co-located environment. The system allows surgeons to define and adjust virtual resections on patient-specific organ 3D surfaces and 2D image slices. Changes on both modalities are synchronized, whi…

Liver surgerySurgical teamModalitiesComputer sciencebusiness.industryComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONGeneral EngineeringComputer Graphics and Computer-Aided DesignSurgical planningVisualizationHuman-Computer InteractionSoftwareHuman–computer interactionComponent (UML)Collaborative virtual realitybusinessComputers & Graphics
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Dynamic best spectral bands selection for face recognition

2014

In this paper, face recognition in uncontrolled illumination conditions is investigated. A twofold contribution is proposed. First, three state-of-art algorithms, namely Multiblock Local Binary Pattern (MBLBP), Histogram of Gabor Phase Patterns (HGPP) and Local Gabor Binary Pattern Histogram Sequence (LGBPHS) are evaluated upon the IRIS-M3 face database to study their robustness against a high illumination variation conditions. Second, we propose to use visible multispectral images, provided by the same face database, to enhance the performance of the three mentioned algorithms. To reduce the high data dimensionality introduced by the use of multispectral images, we have designed a system t…

Local binary patternsbusiness.industryComputer scienceMultispectral imageComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONPattern recognitionSpectral bandsBinary patternMixture modelFacial recognition systemComputingMethodologies_PATTERNRECOGNITIONRobustness (computer science)Computer Science::Computer Vision and Pattern RecognitionHistogramComputer visionArtificial intelligencebusiness2014 48th Annual Conference on Information Sciences and Systems (CISS)
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