Multi-class medical image segmentation on Ankle Collected (test)
99.08Dice Score (Tibia)GUMP-Net
Evaluation results
| Method | Links | ||||||||
|---|---|---|---|---|---|---|---|---|---|
| GUMP-Net2026.06 | 99.08 | 98.31 | 98.29 | 96.73 | 1.26 | 1.87 | 0.2 | 0.24 | |
| Attention U-Net2026.06 | 98.16 | 95.18 | 96.99 | 93.42 | 2.48 | 2.95 | 0.35 | 0.49 | |
| nnU-Net2026.06 | 97.82 | 96.18 | 97.15 | 94.49 | 1.16 | 2.27 | 0.19 | 0.33 | |
| U-Net2026.06 | 97.47 | 96.35 | 96.7 | 94.78 | 1.83 | 3.25 | 0.23 | 0.56 | |
| FAS-UNet2026.06 | 95.88 | 97.43 | 94.92 | 95.62 | 1.58 | 3.84 | 0.25 | 0.59 | |
| PottsMGNet2026.06 | 93.71 | 96.01 | 92.54 | 93.88 | 3.53 | 4.03 | 0.98 | 0.66 | |
| Swin-Unet2026.06 | 93.08 | 91.88 | 90.57 | 86.84 | 6.11 | 7.82 | 1.47 | 1.42 | |
| DeepLabv3+2026.06 | 87.4 | 92.04 | 85.1 | 88.49 | 9.06 | 6 | 1.17 | 1.15 |