Tumor Segmentation on LiTS
77.5DiceKiU-Net 3D
Evaluation results
| Method | Links | ||
|---|---|---|---|
| KiU-Net 3DType=Voxel2020.10 | 77.5 | — | |
| Li et al.Type=Voxel2020.10 | 73.5 | 0 | |
| KiU-NetType=Image2020.10 | 71.05 | — | |
| U-NetType=Image2020.10 | 69.5 | 0 | |
| U-Net 3DType=Voxel2020.10 | 69.12 | 0 | |
| DeepLab v3+Type=Image2020.10 | 68.6 | 0 | |
| Seg-Net 3DType=Voxel2020.10 | 68.22 | 0 | |
| Seg-NetType=Image2020.10 | 64.52 | 0 | |
| Dense-UNetType=Voxel2020.10 | 59.44 | 0 | |
| RL-PromptSeg2026.02 | 0.803 | — | |
| CLIPSeg2026.02 | 0.794 | — | |
| Swin-UNeTr2026.02 | 0.758 | — | |
| nnUNet2026.02 | 0.748 | — | |
| DinoV32026.02 | 0.745 | — | |
| UNet2026.02 | 0.742 | — | |
| MedSAM32026.02 | 0.703 | — | |
| SAM32026.02 | 0.651 | — |