3D radiotherapy target segmentation on Multimodal 3D radiotherapy target dataset All samples
71.5DiceFairDRO
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| FairDROBackbone=3D ResUNet2026.05 | 71.5 | — | — | 57.4 | |
| dMoEBackbone=3D ResUNet2026.05 | 70.9 | — | — | 57.2 | |
| FEBSBackbone=3D ResUNet2026.05 | 69.4 | — | — | 54.9 | |
| FairDROBackbone=3D ResUNet2026.05 | 68.8 | 58.9 | 47.1 | 55.4 | |
| MoEBackbone=3D ResUNet2026.05 | 68.7 | — | — | 54.7 | |
| Prompt-GDROBackbone=3D ResUNet2026.05 | 68.5 | — | — | 53.9 | |
| 3D ResUNet2026.05 | 68.3 | — | — | 53.6 | |
| dMoEBackbone=3D ResUNet2026.05 | 67.2 | 55.1 | 43.7 | 53.9 | |
| GDROBackbone=3D ResUNet2026.05 | 67.2 | — | — | 52.1 | |
| 3D ResUNet2026.05 | 66.8 | 55.7 | 43.8 | 53.2 | |
| FEBSBackbone=3D ResUNet2026.05 | 66.7 | 54.6 | 43.2 | 53.3 | |
| 3D ResUNet + FairDROTechnique=FairDRO2026.05 | 66.5 | 53 | 41.1 | 52.1 | |
| GDROBackbone=3D ResUNet2026.05 | 66.2 | 55.3 | 42.9 | 52.4 | |
| Prompt-GDROBackbone=3D ResUNet2026.05 | 66.1 | 55.4 | 43.4 | 52.4 | |
| MoEBackbone=3D ResUNet2026.05 | 65.7 | 54 | 42.6 | 52.4 | |
| 3D ResUNet + dMoETechnique=dMoE2026.05 | 65 | 49.9 | 38.4 | 50.7 | |
| 3D ResUNet + Prompt-GDROTechnique=Prompt-GDRO2026.05 | 61.1 | 47.5 | 35.7 | 46.2 | |
| 3D ResUNetBackbone=3D ResUNet2026.05 | 61 | 48.7 | 36.7 | 46.2 | |
| 3D ResUNet + MoETechnique=MoE2026.05 | 60.8 | 45.2 | 34.2 | 46.1 | |
| 3D ResUNet + GDROTechnique=GDRO2026.05 | 60.7 | 45.3 | 34 | 45.9 | |
| 3D ResUNet + FEBSTechnique=FEBS2026.05 | 58.6 | 43.4 | 32.2 | 43.3 |