Multi-organ Segmentation on Inhouse dataset
82.59Brainstem DSCHUR-MACL
Evaluation Results
| Method | Links | ||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| HUR-MACL2026.01 | 82.59 | 2.34 | 44.55 | 3.08 | 73.23 | 1.18 | 66.08 | 1.85 | 67.8 | 1.65 | 92.09 | 1.01 | 92.4 | 0.95 | 74.11 | 1.72 | |
| nnU-Net2026.01 | 81.61 | 2.39 | 41.09 | 2.48 | 73.31 | 1.15 | 63.44 | 1.51 | 64.31 | 1.79 | 90.98 | 1.03 | 92.22 | 1 | 72.42 | 1.62 | |
| U-Net2026.01 | 81.41 | 2.67 | 40.99 | 2.77 | 73.13 | 1.28 | 63.6 | 1.68 | 64.15 | 2 | 91.13 | 1.15 | 91.99 | 1.11 | 72.34 | 1.81 | |
| Mamba-UNet2026.01 | 79.63 | 2.8 | 35.91 | 3.12 | 69.85 | 1.65 | 61 | 1.88 | 62.68 | 1.8 | 91.2 | 1.21 | 90.61 | 1.52 | 70.13 | 2 | |
| MHL-Net2026.01 | 79.62 | 2.43 | 37.52 | 3.4 | 69.05 | 1.25 | 58.92 | 1.99 | 62.36 | 1.8 | 89.67 | 1.08 | 89.97 | 0.99 | 69.59 | 1.85 | |
| Missformer2026.01 | 79.24 | 2.92 | 33.16 | 3.77 | 67.98 | 1.52 | 57.91 | 2.35 | 55.58 | 2.26 | 90.39 | 1.31 | 89.73 | 1.4 | 67.71 | 2.22 | |
| FocusNet2026.01 | 78.8 | 2.46 | 40.21 | 3.16 | 69.94 | 2.01 | 57.39 | 2.12 | 66.09 | 1.82 | 89.97 | 1.13 | 92 | 1.09 | 70.63 | 1.97 | |
| TransUNet2026.01 | 75.7 | 3.43 | 32.46 | 3.26 | 62.12 | 2.06 | 43.96 | 3.62 | 48.82 | 2.57 | 88.11 | 1.58 | 86.93 | 1.77 | 62.59 | 2.61 | |
| Swin-mamba2026.01 | 75.24 | 3.1 | 36.06 | 2.95 | 68.42 | 1.61 | 61.7 | 1.96 | 60.3 | 1.85 | 91.33 | 1.15 | 91.52 | 1.09 | 69.22 | 1.96 |