Tumor Segmentation on AutoPET UKT (test)
0.8622DSCnnU-Net
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| nnU-Net2026.01 | 0.8622 | 1.6795 | 6.6433 | |
| IKIM2026.01 | 0.7938 | 1.0422 | 2.6586 | |
| UIH_CRI_SIL2026.01 | 0.7922 | 0.956 | 2.277 | |
| HussainAlasmawi2026.01 | 0.7802 | 0.6365 | 2.8756 | |
| LesionTracer2026.01 | 0.7702 | 0.431 | 3.0189 | |
| StockholmTrio2026.01 | 0.7684 | 1.1839 | 1.799 | |
| QuantIF2026.01 | 0.7649 | 2.2904 | 0.7074 | |
| Airamatrix2026.01 | 0.7556 | 1.6105 | 0.8604 | |
| Max.sh2026.01 | 0.7483 | 0.657 | 3.8532 | |
| Lennonlychan2026.01 | 0.7454 | 1.1815 | 1.2379 | |
| zero_sugar2026.01 | 0.7373 | 4.3788 | 0.8209 | |
| Shadab2026.01 | 0.727 | 0.7998 | 1.9246 | |
| WukongRT2026.01 | 0.7221 | 1.104 | 3.5422 | |
| HKURad2026.01 | 0.6973 | 3.3258 | 2.6552 | |
| BAMF AI2026.01 | 0.6973 | 1.442 | 1.7017 | |
| SDF-HOLO2026.01 | 0.6933 | 0.6447 | 3.327 |