Medical Image Segmentation on KITS
84.7Dice3D RepUX-Net
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| 3D RepUX-Net2023.03 | 84.7 | — | — | |
| 3D UX-NetKernel size=k=72023.03 | 83.6 | — | — | |
| RepOptimizer2023.03 | 83.3 | — | — | |
| nn-UNet2023.03 | 82.9 | — | — | |
| SwinUNETR2023.03 | 81.5 | — | — | |
| 3D UX-NetKernel size=k=212023.03 | 80.8 | — | — | |
| UNETR2023.03 | 80.1 | — | — | |
| TransBTS2023.03 | 79.7 | — | — | |
| nnFormer2023.03 | 77.4 | — | — | |
| One-Promptsetting=segment everything, mode=zero-shot2023.05 | 67.3 | — | — | |
| MedSAMsetting=segment everything, mode=zero-shot2023.05 | 62.4 | — | — | |
| SAM-Med2Dsetting=segment everything, mode=zero-shot2023.05 | 56.3 | — | — | |
| MSAsetting=segment everything, mode=zero-shot2023.05 | 54.6 | — | — | |
| IACSearch Stage=Stage III2024.05 | 50 | — | — | |
| U-Net++2024.05 | 48 | — | — | |
| MedSegDiffsetting=segment everything, mode=zero-shot2023.05 | 40.1 | — | — | |
| Baseline (U-Net)2024.05 | 40 | — | — | |
| nnUNetsetting=segment everything, mode=zero-shot2023.05 | 39.8 | — | — | |
| TransUNetsetting=segment everything, mode=zero-shot2023.05 | 38.2 | — | — | |
| Swin-UNetrsetting=segment everything, mode=zero-shot2023.05 | 37.2 | — | — | |
| Attention Gate2024.05 | — | 3 | 11 | |
| IACStage=III2024.05 | — | 11 | 9 | |
| Residual Att Gate2024.05 | — | 9 | 9 | |
| U-Net++Architecture=Nested2024.05 | — | 8 | 8 |