Medical Image Segmentation on BRATS 2021
89.7DiceBerDiff
Evaluation results
| Method | Links | |
|---|---|---|
| BerDiff2023.04 | 89.7 | |
| SegDiff2023.04 | 89.3 | |
| U-netarchitecture=same as noise estimation network in BerDiff2023.04 | 89.2 | |
| Swin UNETR2023.04 | 89 | |
| TransU-net2023.04 | 88.6 | |
| nnU-net2023.04 | 88.2 | |
| AR-Seg2025.02 | 86.97 | |
| HiDiff2025.02 | 85.8 | |
| BerDiff2025.02 | 85.42 | |
| nnU-net2025.02 | 84.57 | |
| SwinU-net2025.02 | 83.94 | |
| TransU-net2025.02 | 83.5 | |
| MERIT2025.02 | 83.02 | |
| MedSegDiff2025.02 | 82.81 | |
| U-net2025.02 | 75.48 |