Multi-class medical image segmentation on Pelvic1K CLINIC (test)
99.03Dice (Left)GUMP-Net
Evaluation results
| Method | Links | ||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| GUMP-Net2026.06 | 99.03 | 99.01 | 97.64 | 98.17 | 98.2 | 96.05 | 1.96 | 2.07 | 1.75 | 0.13 | 0.12 | 0.18 | |
| U-Net2026.06 | 98.67 | 98.11 | 93.2 | 97.77 | 97.17 | 91.52 | 2.76 | 3.31 | 2.95 | 0.2 | 0.25 | 0.41 | |
| PottsMGNet2026.06 | 98.06 | 95.71 | 93.07 | 97.15 | 94.84 | 91.18 | 2.4 | 2.05 | 4.1 | 0.12 | 0.18 | 0.57 | |
| Attention U-Net2026.06 | 97.04 | 98.41 | 95.64 | 95.94 | 97.32 | 93.89 | 3.58 | 2.08 | 2.9 | 0.43 | 0.15 | 0.32 | |
| nnU-Net2026.06 | 97.01 | 96.18 | 92.2 | 95.89 | 95.1 | 90.33 | 3.71 | 3.9 | 5.38 | 0.46 | 0.26 | 0.39 | |
| FAS-UNet2026.06 | 95.81 | 97.05 | 92.79 | 94.81 | 96.15 | 90.85 | 6.53 | 3.33 | 4.34 | 1.2 | 0.17 | 0.58 | |
| Swin-Unet2026.06 | 94.45 | 92.54 | 88.66 | 90.9 | 88.84 | 84.1 | 3.92 | 5 | 5.85 | 0.46 | 0.71 | 0.98 | |
| DeepLabv3+2026.06 | 93.37 | 92.85 | 87.78 | 90.59 | 90.42 | 83.84 | 10.6 | 5.69 | 6.26 | 0.75 | 0.48 | 1 |