2021
Anatomy-Constrained Contrastive Learning for Synthetic Segmentation Without Ground-Truth
Zhou B, Liu C, Duncan J. Anatomy-Constrained Contrastive Learning for Synthetic Segmentation Without Ground-Truth. Lecture Notes In Computer Science 2021, 12901: 47-56. DOI: 10.1007/978-3-030-87193-2_5.Peer-Reviewed Original ResearchSegmentation networkContrastive learningManual segmentationSuperior segmentation performanceObject of interestSynthetic SegmentationManual effortSegmentation performanceTraining dataUnsupervised adaptationImaging dataSource modalitySegmentationNetworkPrevious methodsLearningLarge amountSuccessful applicationPET imaging dataImagesObjectsCodeDataNew imaging modality
1996
Parameterized Feasible Boundaries in Gradient Vector Fields
Worring M, Smeulders A, Staib L, Duncan J. Parameterized Feasible Boundaries in Gradient Vector Fields. Computer Vision And Image Understanding 1996, 63: 135-144. DOI: 10.1006/cviu.1996.0009.Peer-Reviewed Original ResearchImage informationModel-based segmentation procedureObject boundariesSegmentation of imagesDirectional gradient informationLocal image informationObjective functionReal medical imagesObject of interestObject boundary extractionMedical imagesImage dataSmoothness objectiveConflicting objectsBoundary extractionComplex imagesGradient informationArtificial dataSegmentation procedureFeasible boundaryGradient magnitudeSegmentationPhysical feasibilityImagesObjects
1993
Parameterized feasible boundaries in gradient vector fields
Worring M, Smeulders A, Staib L, Duncan J. Parameterized feasible boundaries in gradient vector fields. Lecture Notes In Computer Science 1993, 687: 48-61. DOI: 10.1007/bfb0013780.Peer-Reviewed Original ResearchObject boundariesMedical imagesModel-based segmentation procedureComplex medical imagesSegmentation of imagesDirectional gradient informationLocal image informationReal medical imagesObject of interestImage informationImage dataSmoothness objectiveConflicting objectsNew objective functionProblem of extractionGradient informationArtificial dataSegmentation procedureFeasible boundarySegmentationPhysical feasibilityImagesObjective functionObjectsGradient vector field
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