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Medical Image Segmentation
Medical Image Segmentation is a computer vision task that involves dividing an medical image into multiple segments, where each segment represents a different object or structure of interest in the image. The goal of medical image segmentation is to provide a precise and accurate representation of the objects of interest within the image, typically for the purpose of diagnosis, treatment planning, and quantitative analysis.
<span style="color:grey; opacity: 0.6">( Image credit: IVD-Net )</span>
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144개Kvasir-SEGCVC-ClinicDBCVC-ColonDBETIS-LARIBPOLYPDBSynapse multi-organ CTDRIVEAutomatic Cardiac Diagnosis Challenge (ACDC)SUN-SEG-Easy (Unseen)SUN-SEG-Hard (Unseen)ISIC 2018CHASE_DB1MoNuSeg2018 Data Science BowlGlaSSTAREAnatomical Tracings of Lesions After Stroke (ATLAS)BKAI-IGH NeoPolyp-SmallLiTS2017MICCAI 2015 Multi-Atlas Abdomen Labeling ChallengeACDCISIC 2018SUN-SEG-EasySUN-SEG-HardACDC 10% labeled dataBRATS 2019CVC-VideoClinicDBDRIVELUNAMedical Segmentation DecathlonROSE-1 DVC