PULASki: Learning inter-rater variability using statistical distances to improve probabilistic segmentation
Paper
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2312.15686
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Published
PULASki
ProbUNets from the paper "PULASki: Learning inter-rater variability using statistical distances to improve probabilistic segmentation"
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soumickmj/PULASki_ProbUNet2D_Hausdorff_VSeg
Image Segmentation • Updated • 11 -
soumickmj/PULASki_ProbUNet2D_Sinkhorn_VSeg
Image Segmentation • Updated • 8 -
soumickmj/PULASki_ProbUNet2D_FID_VSeg
Image Segmentation • Updated • 9 -
soumickmj/PULASki_ProbUNet2D_Base_VSeg
Image Segmentation • Updated • 15 -
soumickmj/PULASki_ProbUNet3D_Hausdorff_VSeg
Image Segmentation • Updated • 14 -
soumickmj/PULASki_ProbUNet3D_Sinkhorn_VSeg
Image Segmentation • Updated • 8 -
soumickmj/PULASki_ProbUNet3D_Base_VSeg
Image Segmentation • Updated • 11 -
soumickmj/PULASki_ProbUNet2D_Hausdorff_MSSeg
Image Segmentation • Updated • 9 -
soumickmj/PULASki_ProbUNet2D_Sinkhorn_MSSeg
Image Segmentation • Updated • 10 -
soumickmj/PULASki_ProbUNet2D_FID_MSSeg
Image Segmentation • Updated • 14 -
soumickmj/PULASki_ProbUNet2D_Base_MSSeg
Image Segmentation • Updated • 11 -
soumickmj/PULASki_ProbUNet3D_Hausdorff_MSSeg
Image Segmentation • Updated • 11 -
soumickmj/PULASki_ProbUNet3D_Sinkhorn_MSSeg
Image Segmentation • Updated • 12 -
soumickmj/PULASki_ProbUNet3D_Base_MSSeg
Image Segmentation • Updated • 12