Search results for "Computer-assisted"

showing 10 items of 1186 documents

Taking Advantage of Selective Change Driven Processing for 3D Scanning

2013

This article deals with the application of the principles of SCD (Selective Change Driven) vision to 3D laser scanning. Two experimental sets have been implemented: one with a classical CMOS (Complementary Metal-Oxide Semiconductor) sensor, and the other one with a recently developed CMOS SCD sensor for comparative purposes, both using the technique known as Active Triangulation. An SCD sensor only delivers the pixels that have changed most, ordered by the magnitude of their change since their last readout. The 3D scanning method is based on the systematic search through the entire image to detect pixels that exceed a certain threshold, showing the SCD approach to be ideal for this applicat…

Event-based visionLaser scanningComputer scienceTransducers3d scanninglcsh:Chemical technologySensitivity and SpecificityBiochemistryArticleAnalytical Chemistrylaw.inventionPhotometryPhotometry (optics)Imaging Three-DimensionallawInformàticaNyquist–Shannon sampling theoremComputer visionlcsh:TP1-11853D scanningElectrical and Electronic Engineeringhigh-speed visual acquisitionInstrumentationPixelbusiness.industryLasers3D reconstructionReproducibility of ResultsSignal Processing Computer-AssistedEquipment DesignImage EnhancementLaserAtomic and Molecular Physics and OpticsEquipment Failure AnalysisTransducerSemiconductorsCMOSArtificial intelligencebusinessHigh-speed visual acquisitionevent-based visionSensors
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Learning With Context Feedback Loop for Robust Medical Image Segmentation

2021

Deep learning has successfully been leveraged for medical image segmentation. It employs convolutional neural networks (CNN) to learn distinctive image features from a defined pixel-wise objective function. However, this approach can lead to less output pixel interdependence producing incomplete and unrealistic segmentation results. In this paper, we present a fully automatic deep learning method for robust medical image segmentation by formulating the segmentation problem as a recurrent framework using two systems. The first one is a forward system of an encoder-decoder CNN that predicts the segmentation result from the input image. The predicted probabilistic output of the forward system …

FOS: Computer and information sciencesComputer Science - Machine LearningComputer scienceComputer Vision and Pattern Recognition (cs.CV)Feature vectorComputer Science - Computer Vision and Pattern RecognitionComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONContext (language use)Convolutional neural networkMachine Learning (cs.LG)Feedback030218 nuclear medicine & medical imaging03 medical and health sciences0302 clinical medicineFOS: Electrical engineering electronic engineering information engineeringImage Processing Computer-Assisted[INFO.INFO-IM]Computer Science [cs]/Medical ImagingSegmentationElectrical and Electronic EngineeringComputingMilieux_MISCELLANEOUSRadiological and Ultrasound TechnologyPixelbusiness.industryDeep learningImage and Video Processing (eess.IV)Pattern recognitionImage segmentationElectrical Engineering and Systems Science - Image and Video ProcessingFeedback loopComputer Science ApplicationsFeature (computer vision)Neural Networks ComputerArtificial intelligencebusinessSoftware
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Deep neural networks to recover unknown physical parameters from oscillating time series.

2022

PLOS ONE 17(5), e0268439 (2022). doi:10.1371/journal.pone.0268439

FOS: Computer and information sciencesComputer Science - Machine LearningMultidisciplinaryTime FactorsPhysics610FOS: Physical sciencesSignal Processing Computer-AssistedNumerical Analysis (math.NA)Machine Learning (cs.LG)KnowledgePhysics - Data Analysis Statistics and ProbabilityFOS: MathematicsHumansMathematics - Numerical Analysisddc:610Neural Networks ComputerData Analysis Statistics and Probability (physics.data-an)PloS one
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Fast Estimation of Diffusion Tensors under Rician noise by the EM algorithm

2016

Diffusion tensor imaging (DTI) is widely used to characterize, in vivo, the white matter of the central nerve system (CNS). This biological tissue contains much anatomic, structural and orientational information of fibers in human brain. Spectral data from the displacement distribution of water molecules located in the brain tissue are collected by a magnetic resonance scanner and acquired in the Fourier domain. After the Fourier inversion, the noise distribution is Gaussian in both real and imaginary parts and, as a consequence, the recorded magnitude data are corrupted by Rician noise. Statistical estimation of diffusion leads a non-linear regression problem. In this paper, we present a f…

FOS: Computer and information sciencesreduced computationGaussianModels NeurologicalDatasets as Topicta3112Statistics - ComputationStatistics - ApplicationsTime030218 nuclear medicine & medical imagingMethodology (stat.ME)Diffusion03 medical and health sciencessymbols.namesake0302 clinical medicineScoring algorithmRician fadingPrior probabilityExpectation–maximization algorithmImage Processing Computer-AssistedMaximum a posteriori estimationHumansApplications (stat.AP)Computer SimulationComputation (stat.CO)Statistics - MethodologyMathematicsta112Likelihood FunctionsGeneral NeuroscienceBrainEstimatormaximum likelihood estimatorFisher scoringMagnetic Resonance ImagingWhite MatterRician likelihoodDiffusion Tensor ImagingFourier transformNonlinear Dynamicssymbolsmaximum a posteriori estimatorAlgorithmAlgorithms030217 neurology & neurosurgerydata augmentation
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Label swapper device for spectral amplitude coded optical packet networks monolithically integrated on InP

2011

In this paper the design, fabrication and experimental characterization of an spectral amplitude coded (SAC) optical label swapper monolithically integrated on Indium Phosphide (InP) is presented. The device has a footprint of 4.8x1.5 mm 2 and is able to perform label swapping operations required in SAC at a speed of 155 Mbps. The device was manufactured in InP using a multiple purpose generic integration scheme. Compared to previous SAC label swapper demonstrations, using discrete component assembly, this label swapper chip operates two order of magnitudes faster. © 2011 Optical Society of America.

FabricationComputer sciencePacket networksPhosphinesIntegrationIndium phosphideIndiumSemiconductor laser theoryFootprint (electronics)chemistry.chemical_compoundDiscrete componentsSpectral amplitudeComputer Communication NetworksTEORIA DE LA SEÑAL Y COMUNICACIONESMonolithically integratedOptical labelsOptical amplifierSignal processingbusiness.industryExperimental characterizationInPOptical DevicesSignal Processing Computer-AssistedEquipment DesignChipIntegration schemeAtomic and Molecular Physics and OpticsOptical packet networksEquipment Failure Analysischemistryvisual_artElectronic componentvisual_art.visual_art_mediumIndium phosphideOptoelectronicsMonolithic integrated circuitsbusinessLabel swapping
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Automatable sample fabrication process for pump-probe X-ray holographic imaging

2014

Soft X-ray holography is a recently developed imaging technique with sub-50 nm spatial resolution. Key advantages of this technique are magnetic and elemental sensitivity, compatibility with imaging at free electron laser facilities, and immunity to in-situ sample excitations and sample drift, which enables the reliable detection of relative changes between two images with a precision of a few nanometers. In X-ray holography, the main part of the experimental setup is integrated in the sample, which consequently requires a large number of fabrication steps. Here we present a generic design and an automatable fabrication process for samples suitable, and optimized for, efficient high resolut…

FabricationMaterials scienceImage qualityDynamic imagingHolographyComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONHolography02 engineering and technologyIterative reconstruction01 natural scienceslaw.inventionOpticslaw0103 physical sciencesDigital image processing010306 general physicsImage resolutionLithographybusiness.industryEquipment Design021001 nanoscience & nanotechnologyAtomic and Molecular Physics and OpticsEquipment Failure AnalysisComputer-Aided DesignRadiographic Image Interpretation Computer-Assisted0210 nano-technologybusinessOptics Express
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Phenotypic analysis of adults and eggs of Fasciola hepatica by computer image analysis system

2005

AbstractKnowledge of the morphological phenotypes of the liver fluke Fasciola hepatica (Trematoda: Digenea) is analysed. The influence of parasite age on its dimensions, the adult fluke growth model, variation in a biometric variable versus time, and variation in a biometric variable versus another biometric variable (allometric model) are revised. The most useful allometric model appears to be (y2m]#x2212;y2)/y2=c [(y1m−y1)/y1]b, where y1=body area or body length, y2=one of the measurements analysed, y1m, y2m=maximum values towards which y1 and y2, respectively, tend, and c, b=constants. A method based on material standardization, the measurement proposal and allometric analysis is detaile…

FascioliasisBiometryZoologyDigeneaHost-Parasite InteractionsHepaticaImage Processing Computer-AssistedAnimalsParasite hostingFasciola hepaticaRats WistarParasite Egg CountbiologyAltitudeComputer imageGeneral MedicineAnatomyFasciola hepaticaLiver flukebiology.organism_classificationRatsPhenotypeAnimal Science and ZoologyParasitologyAllometryTrematodaJournal of Helminthology
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Colourimetric image analysis as a diagnostic tool in female genital schistosomiasis

2015

Female genital schistosomiasis (FGS) is a highly prevalent waterborne disease in some of the poorest areas of sub-Saharan Africa. Reliable and affordable diagnostics are unavailable. We explored colourimetric image analysis to identify the characteristic, yellow lesions caused by FGS. We found that the method may yield a sensitivity of 83% and a specificity of 73% in colposcopic images. The accuracy was also explored in images of simulated inferior quality, to assess the possibility of implementing such a method in simple, electronic devices. This represents the first step towards developing a safe and affordable aid in clinical diagnosis, allowing for a point-of-care approach.

Female circumcisionmedicine.medical_specialtyAdolescent030231 tropical medicineBiophysicsBiomedical EngineeringSchistosomiasisReproductive Tract Infections03 medical and health sciencesYoung Adult0302 clinical medicinemedicineImage Processing Computer-AssistedHumansSchistosomiasis030212 general & internal medicineDiagnosis Computer-AssistedGynecologyColposcopymedicine.diagnostic_testbusiness.industryWaterborne diseasesmedicine.disease3. Good healthROC CurveClinical diagnosisColorimetryFemaleRadiologybusinessCell PhoneMedical Engineering & Physics
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Diffractive optics for quasi-direct space-to-time pulse shaping.

2008

The strong chromatic behavior associated with a conventional diffractive lens is fully exploited to propose a novel optical device for pulse shaping in the femtosecond regime. This device consists of two optical elements: a spatially patterned circularly symmetric mask and a kinoform diffractive lens, which are facing each other. The system performs a mapping between the spatial position of the masking function expressed in the squared radial coordinate and the temporal position in the output waveform. This space-to-time conversion occurs at the chromatic focus of the diffractive lens, and makes it possible to tailor the output central wavelength along the axial location of the output point…

Femtosecond pulse shapingMasking (art)LightDiffractive lensesPhysics::OpticsDiffraction efficiencyOpticsScattering RadiationComputer SimulationChromatic scalePhysicsPulse shapingKinoformbusiness.industryFísicaOptical DevicesSignal Processing Computer-AssistedEquipment DesignModels TheoreticalPulse shapingAtomic and Molecular Physics and OpticsEquipment Failure AnalysisRefractometryFemtosecondComputer-Aided DesignFocus (optics)businessOptics express
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Formation of ultrashort triangular pulses in optical fibers

2014

Specialty shape ultrashort optical pulses, and triangular pulses in particular, are of great interest in optical signal processing. Compact fiber-based techniques for producing the special pulse waveforms from Gaussian or secant pulses delivered by modern ultrafast lasers are in demand in telecommunications. Using the nonlinear Schr¨odinger equation in an extended form the transformation of ultrashort pulses in a fiber towards triangular shape is characterized by the misfit parameter under variety of incident pulse shapes, energies, and chirps. It is shown that short (1-2 m) conventional single mode fiber can be used for triangular pulse formation in the steady-state regime without any pre-…

Femtosecond pulse shapingMaterials scienceFrequency-resolved optical gatingbusiness.industryLasersSingle-mode optical fiberPhysics::OpticsSignal Processing Computer-AssistedEquipment DesignÒpticaPulse shapingAtomic and Molecular Physics and OpticsOpticsMultiphoton intrapulse interference phase scanChirpTelecommunicationsComputer-Aided DesignFiber Optic TechnologybusinessUltrashort pulseBandwidth-limited pulseOptical Fibers
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