3D Brain Tumor Segmentation on BraTS 2020 (Dice and HD95)
91.31WT DiceSSFMamba
Evaluation results
| Method | Links | ||||||||
|---|---|---|---|---|---|---|---|---|---|
| SSFMambaArchitecture=Mamba2025.08 | 91.31 | 4.31 | 84.51 | 4.97 | 76.69 | 7.53 | 84.17 | 5.6 | |
| MedNext 2023Architecture=CNN2025.08 | 91.26 | 4.75 | 83.52 | 4.77 | 75.71 | 8.01 | 83.49 | 5.84 | |
| EM-Net 2024Architecture=Mamba2025.08 | 90.81 | 5.04 | 83.44 | 5.77 | 75.65 | 8.08 | 83.3 | 6.29 | |
| SegMamba 2024Architecture=Mamba2025.08 | 90.77 | 4.38 | 84.33 | 6.17 | 75.98 | 8.04 | 83.69 | 6.2 | |
| SuperLightNet 2025Architecture=CNN2025.08 | 90.68 | 7.89 | 83.16 | 5.65 | 76.31 | 7.71 | 83.38 | 6.88 | |
| SwinUNETR-V2 2023Architecture=Transformer2025.08 | 90.37 | 5.16 | 83.83 | 5.4 | 75.18 | 7.58 | 83.13 | 6.04 | |
| UNETR 2022Architecture=Transformer2025.08 | 90.13 | 6.05 | 78.93 | 6.11 | 73.89 | 8.72 | 80.98 | 6.96 | |
| SwinUNETR 2022Architecture=Transformer2025.08 | 90.1 | 5.13 | 84.11 | 5.54 | 75.52 | 7.91 | 83.24 | 6.19 | |
| UXNET 2020Architecture=CNN2025.08 | 90.09 | 4.62 | 83.32 | 5.6 | 76.19 | 8.06 | 83.2 | 6.09 | |
| U-Net 2015Architecture=CNN2025.08 | 89.79 | 4.91 | 84.01 | 5.56 | 74.82 | 8.01 | 82.87 | 6.16 | |
| TransUNet 2024Architecture=Transformer2025.08 | 89.35 | 4.34 | 80.34 | 5.67 | 71.47 | 8.64 | 80.38 | 6.22 |