Medical Image Segmentation on LiTS (test)
81.2Dice Score (Average)nnU-Net ResEnc L
Evaluation results
| Method | Links | ||||||
|---|---|---|---|---|---|---|---|
| nnU-Net ResEnc LArchitecture Category=Conv.2025.11 | 81.2 | — | — | — | — | — | |
| SPECTREArchitecture Category=Transformers2025.11 | 80.14 | — | — | — | — | — | |
| Primus-LArchitecture Category=Transformers2025.11 | 79.9 | — | — | — | — | — | |
| Primus-MArchitecture Category=Transformers2025.11 | 79.52 | — | — | — | — | — | |
| nnU-NetArchitecture Category=Conv.2025.11 | 79.29 | — | — | — | — | — | |
| CoTrArchitecture Category=Transformers2025.11 | 78.44 | — | — | — | — | — | |
| nnFormerArchitecture Category=Transformers2025.11 | 77.02 | — | — | — | — | — | |
| CASTformer2022.01 | 73.82 | 64.91 | 23.35 | 10.16 | 95.88 | 51.76 | |
| SwinUNETRv2Architecture Category=Transformers2025.11 | 73.27 | — | — | — | — | — | |
| CATformer2022.01 | 72.39 | 62.76 | 22.38 | 11.57 | 94.18 | 49.6 | |
| UNETRArchitecture Category=Transformers2025.11 | 70.91 | — | — | — | — | — | |
| TransUNet2022.01 | 67.94 | 60.25 | 29.32 | 12.45 | 93.4 | 42.49 | |
| AttnUNetEncoder=ResNet50, Decoder=AttnUNet2022.01 | 66.22 | 59.27 | 31.47 | 10.41 | 93.26 | 39.18 | |
| AttnUNetEncoder=None, Decoder=AttnUNet2022.01 | 66.03 | 58.49 | 31.34 | 16.15 | 92.26 | 39.81 | |
| SwinUNet2022.01 | 65.53 | 57.84 | 36.45 | 16.52 | 92.15 | 38.92 | |
| UNetEncoder=ResNet50, Decoder=UNet2022.01 | 65.25 | 58.09 | 27.97 | 10.02 | 93.78 | 36.73 | |
| UNetEncoder=None, Decoder=UNet2022.01 | 62.88 | 54.64 | 57.59 | 27.74 | 88.27 | 37.49 | |
| CoTr2022.01 | 62.67 | 55.43 | 34.75 | 15.84 | 89.43 | 35.92 | |
| SETR2022.01 | 54.79 | 49.21 | 36.34 | 15.04 | 91.69 | 17.9 | |
| CoTrCNN-encoder=Excluded2022.01 | 53.35 | 47.11 | 55.82 | 22.99 | 85.25 | 21.45 |