MID: Mask-Image Distributional Divergence for Evaluating Medical Image Segmentation.

arXiv:2610.17354v2 Announce Type: replace-cross Abstract: Current evaluation protocols for medical image segmentation remain largely anchored in sample-wise comparisons, e.g., Dice and Hausdorff distance, which require each prediction to be paired with a groun