Medical Image Segmentation on MMIS (test) benchmark leaderboard · SOTA2 Research

Medical Image Segmentation on MMIS (test)

0.227GEDProb-UNet

Evaluation Results

Method	Links
Prob-UNet2025.07		0.227	0.607	0.856	74
Uncertainty Flow Matching2025.07		0.231	0.789	0.856	78.5
CIMD2025.07		0.235	0.742	0.849	78.3
Prob-UNet2025.07		0.24	0.574	0.845	73.8
Uncertainty Flow Matching2025.07		0.244	0.778	0.842	77.8
CIMD2025.07		0.256	0.695	0.834	77.3
Prob-UNet2025.07		0.28	0.501	0.813	72.9
Uncertainty Flow Matching2025.07		0.294	0.749	0.813	77
CIMD2025.07		0.301	0.568	0.797	76.5
PHiSeg2025.07		0.319	0.254	0.757	78
PHiSeg2025.07		0.321	0.243	0.755	77.6
PHiSeg2025.07		0.328	0.217	0.749	77