Journal of Medical Imaging · 2020 · 18 citations · 40 references
MedicineRadiation OncologyRadiologyDiagnostic ImagingDiagnostic RadiologyTreatment PlanningComputed TomographyImage SegmentationMedical Image AnalysisMedical ImagingRadiation Treatment PlanningVolume SegmentationAutomated Organ SegmentationAutomatic SegmentationConvolutional Neural Network SegmentationConvolutional Neural NetworksGenerative Adversarial NetworksOrgan SegmentationSegmentationTomographic Image Segmentation
Experimental results demonstrate that the proposed method can produce fast, accurate, and reproducible segmentation of multiple organs of different sizes and shapes and show its potential to be applicable to different disease sites.
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