Medical Image Segmentation on LIDC-IDRI (test) benchmark leaderboard · SOTA2 Research

Medical Image Segmentation on LIDC-IDRI (test)

0.208GEDSSB++

Evaluation Results

Method
SSB++2025.09	0.208	0.943	95.8	0.997	0.427	0.356	—	—
SSB2025.09	0.245	0.925	94.5	0.995	0.397	0.317	—	—
CCDM2025.09	0.264	0.886	91.8	0.997	0.402	0.324	—	—
PhiSeg2025.09	0.27	0.904	73.6	—	—	—	—	—
PHi-Seg2023.04	0.27	0.904	73.6	—	—	—	—	—
Prob-UNet2025.07	0.29	0.87	—	—	—	—	0.831	52.5
Uncertainty Flow Matching2025.07	0.292	0.876	—	—	—	—	0.835	59.5
CIMD2025.07	0.297	0.87	—	—	—	—	0.83	55.6
Generalized Probabilistic U-net2023.04	0.299	0.905	70.7	—	—	—	—	—
Prob-UNet2025.07	0.3	0.859	—	—	—	—	0.817	52
Prob. UNet2025.09	0.31	0.907	83.1	97.9	0.391	0.287	—	—
CIMD2025.09	0.318	0.841	88.3	0.996	0.341	0.214	—	—
CIMD2023.04	0.321	0.915	75.9	—	—	—	—	—
Uncertainty Flow Matching2025.07	0.323	0.848	—	—	—	—	0.832	57.8
CIMD2025.07	0.339	0.835	—	—	—	—	0.828	58.4
Probabilistic Unet2023.04	0.353	0.892	73.1	—	—	—	—	—
Prob-UNet2025.07	0.353	0.787	—	—	—	—	0.75	50.5
CIMD2025.07	0.395	0.778	—	—	—	—	0.791	55.6
Uncertainty Flow Matching2025.07	0.409	0.739	—	—	—	—	0.816	53.7
DDPM-Prob-Seg2023.04	0.417	0.689	68.3	—	—	—	—	—
PHiSeg2025.07	0.513	0.586	—	—	—	—	0.358	57.7
PHiSeg2025.07	0.518	0.578	—	—	—	—	0.342	58.1
PHiSeg2025.07	0.533	0.565	—	—	—	—	0.31	57.9
DDPM-det-Seg2023.04	1.081	0.548	61.6	—	—	—	—	—