Brain Tumor Segmentation on BraTS 2020 (Regional Dice and HD)
92.29Dice (WT)ADRUwAMS
Evaluation Results
| Method | Links | ||||||
|---|---|---|---|---|---|---|---|
| ADRUwAMSArchitecture=ADRUwAMS2026.04 | 92.29 | 84.32 | 80.04 | 1.3228 | 3.0375 | 10.5287 | |
| 3D PSwinbtsArchitecture=3D PSwinbts2026.04 | 90.76 | 84.2 | 79.48 | 5.573 | 7.252 | 19.437 | |
| Selective Deeply Supervised Multi-Scale Attention NetworkArchitecture=Selective Deeply Supervised Multi-Scale Attention Network2026.04 | 90.24 | 86.93 | 80.64 | 4.27 | 6.32 | 5.87 | |
| Ensembles of CNNArchitecture=Ensembles of CNN2026.04 | 90.2 | 81.5 | 77.3 | 6.16 | 7.55 | 21.8 | |
| HMNetArchitecture=HMNet2026.04 | 90.1 | 82.3 | 78.1 | 5.954 | 7.055 | 21.34 | |
| Modified 3D U-netArchitecture=Modified 3D U-net2026.04 | 90 | 84 | 74 | 5.08 | 8.69 | 36.04 | |
| Segmentation via pixel-level and feature-level image fusionArchitecture=Segmentation via pixel-level and feature-level image fusion2026.04 | 89.5 | 81.78 | 77.45 | 5.3117 | 9.4285 | 4.4715 | |
| SwinbtsArchitecture=Swinbts2026.04 | 89.06 | 80.3 | 77.36 | 8.56 | 15.78 | 26.84 | |
| 3D self-ensemble ResUNetArchitecture=3D self-ensemble ResUNet2026.04 | 89 | 81 | 76 | 5.28 | 7.74 | 33.26 | |
| TransBTSArchitecture=TransBTS2026.04 | 89 | 81.36 | 78.5 | 6.469 | 10.468 | 16.716 | |
| MENetArchitecture=MENet2026.04 | 88 | 74 | 70 | 6.95 | 30.18 | 38.6 | |
| Pre-operative three-dimensional MRIArchitecture=Pre-operative three-dimensional MRI2026.04 | 88 | 79 | 77 | 7.79 | 13.86 | 32.69 | |
| Dual-Path attention U-NetArchitecture=Dual-Path attention U-Net2026.04 | 87.8 | 77.9 | 75.2 | 6.3 | 11.02 | 30.65 | |
| dResU-NetArchitecture=dResU-Net2026.04 | 86.6 | 83.57 | 80.04 | — | — | — | |
| MM-UNetArchitecture=MM-UNet2026.04 | 85 | 76.5 | 76.2 | 8.243 | 10.766 | 6.389 |