Search results for "Subtraction"

showing 10 items of 112 documents

Quantum-over-Classical Advantage in Solving Multiplayer Games

2020

We study the applicability of quantum algorithms in computational game theory and generalize some results related to Subtraction games, which are sometimes referred to as one-heap Nim games.

Computer Science::Computer Science and Game TheoryTheoretical computer scienceComputer scienceQuantum game theoryComputingMilieux_PERSONALCOMPUTINGSubtractionQuantum algorithmComputational game theoryQuantum
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Automatic skull stripping in MRI based on morphological filters and fuzzy c-means segmentation

2012

In this paper a new automatic skull stripping method for T1-weighted MR image of human brain is presented. Skull stripping is a process that allows to separate the brain from the rest of tissues. The proposed method is based on a 2D brain extraction making use of fuzzy c-means segmentation and morphological operators applied on transversal slices. The approach is extended to the 3D case, taking into account the result obtained from the preceding slice to solve the organ splitting problem. The proposed approach is compared with BET (Brain Extraction Tool) implemented in MRIcro software.

Computer scienceComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONSensitivity and SpecificityFuzzy logicPattern Recognition AutomatedFuzzy LogicImage Interpretation Computer-AssistedmedicineHumansSegmentationComputer visionSettore ING-INF/05 - Sistemi Di Elaborazione Delle Informazionimedicine.diagnostic_testSkull Stripping Fuzzy C-means Morphological Filters.business.industrySkullProcess (computing)BrainReproducibility of ResultsMagnetic resonance imagingImage segmentationImage EnhancementMagnetic Resonance ImagingSubtraction TechniquePattern recognition (psychology)Skull strippingArtificial intelligenceMr imagesbusinessAlgorithms2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society
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Background subtraction and peak search from threefold gamma event data

1990

Abstract A method for subtracting background from triple-coincidence γ events is presented. In our data set it was used to remove 40% of the noise without affecting photopeaks with intensity of >18 counts. An example of performance of Ward's clustering algorithm applied to three-dimensional photopeak searching is also presented. Several standard clustering algorithms were found to be applicable only to background-subtracted data.

Data setPhysicsNuclear and High Energy PhysicsBackground subtractionNoiseEvent databusiness.industryPattern recognitionArtificial intelligenceCluster analysisbusinessInstrumentationIntensity (physics)Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment
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Length of endodontic files measured in digital radiographs with and without noise-suppression filters: an ex-vivo study

2011

The aim of this study is to evaluate if theoretically possible edge shifts induced by noise-suppression filters potentially occur on objects found in digital radiographs. Most manufacturers carry out noise-suppression filtering of their images before they are displayed to the user. It is not usually possible for the user to disrupt the function of the filters. The use of these filters can lead to deletion of small image structures.K-files (ISO size 06, 08, 10 and 15) were placed in the root canals of 6 human teeth located in cadaver jaw segments. File tip positions were measured on original and filtered digital images by three observers. The file position was marked on each filtered image a…

Dental InstrumentsRadiographyDentistryMandibleStandard deviationDigital imageCadaverEndodontic filesCadaverHumansRadiology Nuclear Medicine and imagingComputer visionGeneral DentistryMathematicsNoise suppressionPixelbusiness.industryResearchGeneral MedicineEquipment DesignRadiography Dental DigitalImage enhancementOtorhinolaryngologySubtraction TechniqueArtificial intelligenceDental Pulp CavitybusinessArtifactsFiltrationRoot Canal Preparation
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Optical sectioning by two-pinhole confocal fluorescence microscopy.

2003

A two-pinhole axially superresolving confocal fluorescence imaging system is presented. Based on the concept of subtractive incoherent imaging, the system described here is equipped with a zero-focus complex-transmittance pupil filter in one of the collector paths. The optical sectioning capacity of the system is 25% superior to that of a free-pupil one-pinhole instrument.

Fluorescence-lifetime imaging microscopyMaterials scienceMicroscopy ConfocalOptical sectioningbusiness.industryConfocalScanning confocal electron microscopyGeneral Physics and AstronomyCell BiologyModels TheoreticalImage Enhancementlaw.inventionOpticsMicroscopy FluorescenceStructural BiologyConfocal microscopylawLight sheet fluorescence microscopySubtraction TechniqueMicroscopyGeneral Materials SciencePinhole (optics)businessMicron (Oxford, England : 1993)
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Quantitative comparison of new image processing methods for volumetric analysis of left ventricular contrast echocardiograms

2003

An effort has been made to develop image processing methods which allow a definite and precise tracking of the borderline of the ventricle in two-dimensional echocardiograms. Experience is reported with two new methods, which are based on the gray-level rise (GL) and the signal-to-noise ratio (SNR) in combined heart-phase-triggered image series. A quantitative comparison of these time-series methods is presented with respect to the interpretation of a single native image (noncontrast image), a single contrast-material image, the corresponding subtraction image, and the corresponding color superposition image. The comparison is based on the calculation of the ejection fraction using the abov…

Image SeriesComputer sciencebusiness.industrymedia_common.quotation_subjectSubtractionImage processingSuperposition principleSignal-to-noise ratio (imaging)Computer Science::Computer Vision and Pattern RecognitionMedical imagingContrast (vision)Computer visionArtificial intelligencebusinessImage resolutionmedia_common[1989] Proceedings. Computers in Cardiology
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Diffusion equations with negentropy applied to denoise mammographic images.

2006

Mammography is a radiographic technique used for the detection of breast lesions. The analysis of the digital image normally requires a previous application of filters as a preprocessing step to reduce the noise level of the image, while preserving important details to carry out a suitable diagnostic. In the literature, there are a large amount of denoising techniques applied to different medical images. In this work we have studied the performance of a diffusive filter with a stopping condition based on the statistical concept of negentropy, applied to denoise mammographic images. The negentropy has been succesfully prove with other denoising methods as independent component analysis by th…

Image qualityNoise reductionEntropyPhysics::Medical PhysicsNormal DistributionBreast NeoplasmsDiffusionDigital imagesymbols.namesakeBreast DiseasesHumansComputer visionImage restorationMathematicsModels Statisticalbusiness.industryWiener filterReproducibility of ResultsFilter (signal processing)Models TheoreticalNon-local meansRadiographic Image EnhancementComputer Science::Computer Vision and Pattern RecognitionSubtraction TechniquesymbolsRadiographic Image Interpretation Computer-AssistedNegentropyArtificial intelligencebusinessArtifactsAlgorithmsMammography
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A new concept to treat lumbar spine stenosis in a mini invasive way

2017

Indocyanine GreenMaleCerebral RevascularizationSettore MED/27 - NeurochirurgiaAngiography Digital SubtractionIntracranial AneurysmAneurysm RupturedMiddle AgedNeurosurgical ProcedureBrain IschemiaCerebral AngiographyPostoperative ComplicationPatient SafetyColoring AgentsHuman
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Minimally Invasive Monitoring of Chronic Central Venous Catheter Patency in Mice Using Digital Subtraction Angiography (DSA)

2015

PLoS ONE 10(6), e0130661 (2015). doi:10.1371/journal.pone.0130661

MaleCatheterization Central Venousmedicine.medical_specialtymedicine.medical_treatmentlcsh:MedicineContrast MediaMiceJugular veinOcclusionmedicineAnimalsCentral Venous Catheterslcsh:ScienceSalineMultidisciplinarymedicine.diagnostic_testbusiness.industrylcsh:RAngiography Digital SubtractionDigital subtraction angiographyBlood flowMice Inbred C57BLCatheterAngiographylcsh:QRadiologybusinessCentral venous catheterResearch Article
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Spectral clustering of shape and probability prior models for automatic prostate segmentation.

2013

Imaging artifacts in Transrectal Ultrasound (TRUS) images and inter-patient variations in prostate shape and size challenge computer-aided automatic or semi-automatic segmentation of the prostate. In this paper, we propose to use multiple mean parametric models derived from principal component analysis (PCA) of shape and posterior probability information to segment the prostate. In contrast to traditional statistical models of shape and intensity priors, we use posterior probability of the prostate region determined from random forest classification to build, initialize and propagate our model. Multiple mean models derived from spectral clustering of combined shape and appearance parameters…

MaleModels StatisticalComputer scienceSegmentation-based object categorizationbusiness.industryPosterior probabilityProstateScale-space segmentationReproducibility of ResultsPattern recognitionImage segmentationModels BiologicalSensitivity and SpecificitySpectral clusteringPattern Recognition AutomatedPoint distribution modelSubtraction TechniqueImage Interpretation Computer-AssistedHumansComputer visionSegmentationComputer SimulationArtificial intelligencebusinessUltrasonographyAnnual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
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