Search results for " Computer-Assisted"

showing 10 items of 1033 documents

Convolutional Neural Network With Shape Prior Applied to Cardiac MRI Segmentation.

2019

In this paper, we present a novel convolutional neural network architecture to segment images from a series of short-axis cardiac magnetic resonance slices (CMRI). The proposed model is an extension of the U-net that embeds a cardiac shape prior and involves a loss function tailored to the cardiac anatomy. Since the shape prior is computed offline only once, the execution of our model is not limited by its calculation. Our system takes as input raw magnetic resonance images, requires no manual preprocessing or image cropping and is trained to segment the endocardium and epicardium of the left ventricle, the endocardium of the right ventricle, as well as the center of the left ventricle. Wit…

Databases FactualComputer scienceHealth InformaticsImage processingConvolutional neural network030218 nuclear medicine & medical imaging03 medical and health sciences0302 clinical medicineHealth Information ManagementSørensen–Dice coefficientImage Processing Computer-AssistedHumansElectrical and Electronic EngineeringArtificial neural networkbusiness.industryMedical image computingCenter (category theory)Pattern recognitionHeartImage segmentationMagnetic Resonance ImagingComputer Science ApplicationsCardiac Imaging TechniquesHausdorff distancecardiovascular systemArtificial intelligenceNeural Networks Computerbusiness030217 neurology & neurosurgeryIEEE journal of biomedical and health informatics
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A completely automated CAD system for mass detection in a large mammographic database.

2006

Mass localization plays a crucial role in computer-aided detection (CAD) systems for the classification of suspicious regions in mammograms. In this article we present a completely automated classification system for the detection of masses in digitized mammographic images. The tool system we discuss consists in three processing levels: (a) Image segmentation for the localization of regions of interest (ROIs). This step relies on an iterative dynamical threshold algorithm able to select iso-intensity closed contours around gray level maxima of the mammogram. (b) ROI characterization by means of textural features computed from the gray tone spatial dependence matrix (GTSDM), containing secon…

Databases FactualInformation Storage and RetrievalReproducibility of ResultsBreast NeoplasmsSensitivity and SpecificityNeural networkPattern Recognition AutomatedRadiographic Image EnhancementBreast cancerTextural featuresRadiology Information SystemsImage processingComputer-aided detection (CAD)Artificial IntelligenceCluster AnalysisDatabase Management SystemsHumansRadiographic Image Interpretation Computer-AssistedFemaleBreast cancer; Computer-aided detection (CAD); Image processing; Mammographic mass detection; Neural network; Textural featuresMammographic mass detectionAlgorithmsMammographyMedical physics
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Fuzzy technique for microcalcifications clustering in digital mammograms

2012

Abstract Background Mammography has established itself as the most efficient technique for the identification of the pathological breast lesions. Among the various types of lesions, microcalcifications are the most difficult to identify since they are quite small (0.1-1.0 mm) and often poorly contrasted against an images background. Within this context, the Computer Aided Detection (CAD) systems could turn out to be very useful in breast cancer control. Methods In this paper we present a potentially powerful microcalcifications cluster enhancement method applicable to digital mammograms. The segmentation phase employs a form filter, obtained from LoG filter, to overcome the dependence from …

Databases FactualMicrocalcificationsBreast NeoplasmsContext (language use)CADcomputer.software_genreSensitivity and SpecificityFuzzy logicClusteringBreast cancerSegmentationBreast cancerC-meansImage Processing Computer-AssistedmedicineCluster AnalysisHumansMammographyRadiology Nuclear Medicine and imagingSegmentationCluster analysisSpatial filtersmedicine.diagnostic_testMultimediabusiness.industryCalcinosisPattern recognitionmedicine.diseaseSettore FIS/07 - Fisica Applicata(Beni Culturali Ambientali Biol.e Medicin)Computer aided detectionFuzzy logicRadiology Nuclear Medicine and imagingFemaleArtificial intelligencebusinesscomputerAlgorithmsMammographyResearch ArticleBreast cancer Microcalcifications Spatial filters Clustering Fuzzy logic C-means Mammography SegmentationBMC Medical Imaging
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Exudate-based diabetic macular edema detection in fundus images using publicly available datasets

2010

International audience; Diabetic macular edema (DME) is a common vision threatening complication of diabetic retinopathy. In a large scale screening environment DME can be assessed by detecting exudates (a type of bright lesions) in fundus images. In this work, we introduce a new methodology for diagnosis of DME using a novel set of features based on colour, wavelet decomposition and automatic lesion segmentation. These features are employed to train a classifier able to automatically diagnose DME through the presence of exudation. We present a new publicly available dataset with ground-truth data containing 169 patients from various ethnic groups and levels of DME. This and other two publi…

Databases Factualgenetic structuresFeature extractionDiabetic macular edemaHealth Informatics02 engineering and technologySensitivity and SpecificityMacular Edema030218 nuclear medicine & medical imagingPattern Recognition Automated03 medical and health sciences0302 clinical medicineWavelet decompositionWaveletImage Interpretation Computer-Assisted[ INFO.INFO-TI ] Computer Science [cs]/Image Processing0202 electrical engineering electronic engineering information engineeringFalse positive paradoxMedicineHumansRadiology Nuclear Medicine and imagingComputer visionGround truthDiabetic RetinopathyRadiological and Ultrasound Technologybusiness.industryReproducibility of ResultsDiabetic retinopathyExudates and Transudatesmedicine.diseaseImage EnhancementComputer Graphics and Computer-Aided Designeye diseases[INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV]020201 artificial intelligence & image processingComputer Vision and Pattern RecognitionArtificial intelligencebusinessClassifier (UML)AlgorithmsRetinoscopy
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An automated image analysis methodology for classifying megakaryocytes in chronic myeloproliferative disorders

2008

This work describes an automatic method for discrimination in microphotographs between normal and pathological human megakaryocytes and between two kinds of disorders of these cells. A segmentation procedure has been developed, mainly based on mathematical morphology and wavelet transform, to isolate the cells. The features of each megakaryocyte (e.g. area, perimeter and tortuosity of the cell and its nucleus, and shape complexity via elliptic Fourier transform) are used by a regression tree procedure applied twice: the first time to find the set of normal megakaryocytes and the second to distinguish between the pathologies. The output of our classifier has been compared to the interpretati…

Decision treeReproducibility of ResultHealth InformaticsMathematical morphologySensitivity and SpecificityWavelet analysiPattern Recognition Automatedsymbols.namesakeWaveletMegakaryocyteMegakaryocyteArtificial IntelligenceImage Interpretation Computer-AssistedmedicineAnimalsHumansRadiology Nuclear Medicine and imagingComputer visionSegmentationMyeloproliferative DisorderCells Cultured1707MathematicsHealth InformaticMyeloproliferative DisordersSettore INF/01 - InformaticaRadiological and Ultrasound TechnologyAnimalbusiness.industryMorphometryReproducibility of ResultsWavelet transformPattern recognitionAutomatic classification; Elliptic Fourier transform; Morphometry; Wavelet analysis; Animals; Cells Cultured; Humans; Image Enhancement; Image Interpretation Computer-Assisted; Megakaryocytes; Myeloproliferative Disorders; Pattern Recognition Automated; Reproducibility of Results; Sensitivity and Specificity; Algorithms; Artificial Intelligence; Computer Graphics and Computer-Aided Design; 1707; Radiology Nuclear Medicine and Imaging; Health Informatics; Radiological and Ultrasound TechnologyImage EnhancementComputer Graphics and Computer-Aided DesignAlgorithmFourier transformmedicine.anatomical_structuresymbolsAutomatic classificationElliptic Fourier transformComputer Vision and Pattern RecognitionArtificial intelligencebusinessMegakaryocytesClassifier (UML)AlgorithmsHumanMedical Image Analysis
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Heart rate variability and self-control—A meta-analysis

2015

Heart rate variability (HRV) has been suggested as a biological correlate of self-control. Whereas many studies found a relationship between HRV at rest and self-control, effect sizes vary substantially across studies in magnitude and direction. This meta-analysis evaluated the association between HRV at rest and self-control in laboratory tasks, with a particular focus on the identification of moderating factors (task characteristics, methodological aspects of HRV assessment, demographics). Overall, 24 articles with 26 studies and 132 effects (n=2317, mean age=22.44, range 18.4-57.8) were integrated (random effects model with robust variance estimation). We found a positive average effect …

Demographicsmedia_common.quotation_subjectStatistics as TopicModels Psychological050105 experimental psychologySelf-ControlElectrocardiography03 medical and health sciences0302 clinical medicineHeart RateStatisticsVariance estimationHumansMedicineHeart rate variability0501 psychology and cognitive sciencesmedia_commonbusiness.industryGeneral Neuroscience05 social sciencesSignal Processing Computer-AssistedMean agePublication biasSelf-controlRandom effects modelNeuropsychology and Physiological PsychologyMeta-analysisFemaleArousalbusiness030217 neurology & neurosurgeryPsychophysiologyBiological Psychology
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Effects of minute misregistrations of prefabricated markers for image-guided dental implant surgery: an analytical evaluation

2012

Objectives The goal of the present study was to develop a theoretical analysis of errors in implant position, which can occur owing to minute registration errors of a reference marker in a cone beam computed tomography volume when inserting an implant with a surgical stent. Material and methods A virtual dental-arch model was created using anatomic data derived from the literature. Basic trigonometry was used to compute effects of defined minute registration errors of only voxel size. The errors occurring at the implant's neck and apex both in horizontal as in vertical direction were computed for mean ±95%-confidence intervals of jaw width and length and typical implant lengths (8, 10 and 1…

Dental ImplantsCone beam computed tomographymedicine.medical_specialtyComputer scienceDental Implantation EndosseousCone-Beam Computed Tomographycomputer.software_genreModels DentalPatient Care PlanningSurgeryDental implant surgeryImaging Three-DimensionalDental Prosthesis DesignSurgery Computer-AssistedVoxelPosition (vector)Vertical directionRange (statistics)medicineHumansImplantOral SurgeryFrontal regioncomputerBiomedical engineeringClinical Oral Implants Research
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Oral microcirculation observed in vivo by videocapillaroscopy: a review

2009

Capillaroscopy is a non-invasive diagnostic technique that is fundamental in viewing peripheral circulation and in studying microangiopathies. The morphological study of microcirculat ion is of fundamental importance, mainly because the microvascular bed is directly involved in the etiopathogenesis of autoimmune disorders and acute and chronic inflammatory pathological conditions. The value of capillaroscopic investigation as a diagnostic means in cases of peripheral microcirculation disorders has been confirmed by numerous studies. Other studies used capillaroscopic investigations to evaluate microcirculation damage not as a complication of disease (diabetes), but as its initial stage, and…

Dental ImplantsPathologymedicine.medical_specialtyMicroscopy Videobusiness.industryMouth MucosaBurning Mouth SyndromeAutoimmune DiseasesMicroscopic AngioscopyMicrocirculationMicrovascular Bedmedicine.anatomical_structureIn vivoPeripheral microcirculationMicrovesselsImage Processing Computer-AssistedHumansMedicineOral mucosaMouth DiseasesbusinessGeneral Dentistryoral capillaroscopy microcirculationJournal of Oral Science
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Customised products for orbital wall reconstruction: a systematic review

2021

Abstract The purpose of this systematic review was to critically analyze the recent literature to present the state of the art in customized reconstruction of orbital fractures. Three electronic databases and manual search approaches were used to identify relevant articles. Only studies with a controlled clinical study design were included. Primary outcome was defined as the status of recovery (complete/partial functional and esthetic disturbances). The benefit of intra-surgical navigation should be described. Secondary outcome was defined as the time of surgery, post-surgical events and hospitalization. A total of eight studies out of 552 records identified met the inclusion criteria. Post…

Dental ImplantsTitaniumOrbital wallNavigated surgerymedicine.medical_specialtybusiness.industryClinical study designPlastic Surgery ProceduresSurgical MeshPrimary outcomeSecondary outcomeSurgery Computer-AssistedOtorhinolaryngologyHumansMedicineSurgeryMedical physicsOral SurgerybusinessOrbitOrbital FracturesBritish Journal of Oral and Maxillofacial Surgery
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Condylar position indicator and T-scan system II in clinical evaluation of temporomandibular intracapsular disease.

2012

The pathogenesis of temporomandibular joint intracapsular disease (TMJI) is multifactorial and its diagnosis is not easy. In this work authors show two types of clinical analysis: the Condylar Position Indicator (CPI) and T-Scan 2 system.Twenty patients (mean age of 24.5 years) with TMJI problem and 10 healthy matched subjects (mean age: 25.4 years) were selected. Analysis of TMJI was performed on each patient by means of Condylar Position Indicator (CPI) and T-Scan System II tests.Eight patients presented vertical symmetrical condylar distraction greater than healthy subjects (P-value0.001). T-Scan showed a difference of Percentage of Force (POF) not greater than 5%. Seven patients showed …

Dental Occlusion CentricTime FactorsDentistryMandibleMedicineRange of Motion Articulardental modelsHealthy subjectsJaw movementSignal Processing Computer-AssistedCentric relationMethod of analysisCentric RelationTemporomandibular Joint DisordersModels Dentalmedicine.anatomical_structurecomputer-assistedOral SurgerySymptom Assessmenttemporomandibular joint diseaseClinical evaluationAdultcentricDental ArticulatorsAdolescentRotationarticularCondylerange of motionBite ForceYoung Adultstomatognathic systemFacial PainHumanscondylar positionsignal processingbusiness.industryT-Scan systemMandibular Condylecentric relation; condylar position; condylar position indicator; T-Scan system; temporomandibular joint disease; adolescent; adult; bite force; case-control studies; centric relation; dental articulators; dental models; dental occlusion centric; facial pain; humans; jaw relation record; joint capsule; mandible; mandibular condyle; range of motion articular; rotation; signal processing computer-assisted; symptom assessment; temporomandibular joint disorders; time factors; tooth; waxes; young adultdental occlusioncondylar position indicatorTemporomandibular jointT-scan Condylar position indicator temporomandibular intracapsular diseasePosition (obstetrics)OtorhinolaryngologyJaw Relation RecordCase-Control StudiesWaxesSurgerybusinessToothJoint CapsuleJournal of cranio-maxillo-facial surgery : official publication of the European Association for Cranio-Maxillo-Facial Surgery
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