Segmentation on BraTS 2020
0.9113DiceMAIL-Seg
Evaluation results
| Method | Links | ||
|---|---|---|---|
| MAIL-SegBase network=SegNet, Params=12.58, Flops=7.892026.02 | 0.9113 | 82.78 | |
| EMCADParams=26.8, Flops=5.62026.02 | 0.9053 | 82.55 | |
| MADGNetParams=31, Flops=14.22026.02 | 0.9018 | 81.32 | |
| DRIFA-NetParams=67.3, Flops=19.942026.02 | 0.8992 | 81.25 | |
| PolypPVTParams=25.1, Flops=5.32026.02 | 0.8638 | 79.5 | |
| SwinUNetParams=27.2, Flops=6.22026.02 | 0.8556 | 78.8 | |
| TransUNetParams=105, Flops=38.52026.02 | 0.849 | 78.24 | |
| MTTU-NetParams=71.6, Flops=20.92026.02 | 0.8482 | 78.12 | |
| PathoSyn: DiffSegmentation Model=nnU-Net, Training Regime=Supervised2025.12 | 0.845 | — | |
| TransFuseParams=143, Flops=82.72026.02 | 0.838 | 77.25 | |
| PathoSyn: DiffSegmentation Model=U-Net, Training Regime=Supervised2025.12 | 0.835 | — | |
| PathoSyn: VAE-GANSegmentation Model=nnU-Net, Training Regime=Supervised2025.12 | 0.83 | — | |
| AttnUNetParams=34.9, Flops=66.62026.02 | 0.8278 | 76.48 | |
| UNet++Params=9.2, Flops=34.72026.02 | 0.8255 | 76.37 | |
| PathoSyn: VAE-GANSegmentation Model=U-Net, Training Regime=Supervised2025.12 | 0.82 | — | |
| PathoSyn: DiffSegmentation Model=Mean Teacher U-Net, Training Regime=Semi-Supervised2025.12 | 0.82 | — | |
| UNetParams=34.5, Flops=65.52026.02 | 0.8179 | 76.54 | |
| MaskDiff-InpaintSegmentation Model=nnU-Net, Training Regime=Supervised2025.12 | 0.815 | — | |
| Brain-LDMSegmentation Model=nnU-Net, Training Regime=Supervised2025.12 | 0.81 | — | |
| PathoSyn: VAE-GANSegmentation Model=Mean Teacher U-Net, Training Regime=Semi-Supervised2025.12 | 0.805 | — | |
| MaskDiff-InpaintSegmentation Model=U-Net, Training Regime=Supervised2025.12 | 0.804 | — | |
| Brain-LDMSegmentation Model=U-Net, Training Regime=Supervised2025.12 | 0.802 | — | |
| Conventional AugmentationSegmentation Model=nnU-Net, Training Regime=Supervised2025.12 | 0.8 | — | |
| PathoSyn: DiffSegmentation Model=Contra-Seg, Training Regime=Unsupervised2025.12 | 0.795 | — | |
| MaskDiff-InpaintSegmentation Model=Mean Teacher U-Net, Training Regime=Semi-Supervised2025.12 | 0.79 | — | |
| Conventional AugmentationSegmentation Model=U-Net, Training Regime=Supervised2025.12 | 0.788 | — | |
| Brain-LDMSegmentation Model=Mean Teacher U-Net, Training Regime=Semi-Supervised2025.12 | 0.785 | — | |
| No AugmentationSegmentation Model=nnU-Net, Training Regime=Supervised2025.12 | 0.78 | — | |
| PathoSyn: VAE-GANSegmentation Model=Contra-Seg, Training Regime=Unsupervised2025.12 | 0.78 | — | |
| No AugmentationSegmentation Model=U-Net, Training Regime=Supervised2025.12 | 0.77 | — | |
| Conventional AugmentationSegmentation Model=Mean Teacher U-Net, Training Regime=Semi-Supervised2025.12 | 0.77 | — | |
| MaskDiff-InpaintSegmentation Model=Contra-Seg, Training Regime=Unsupervised2025.12 | 0.765 | — | |
| Brain-LDMSegmentation Model=Contra-Seg, Training Regime=Unsupervised2025.12 | 0.76 | — | |
| No AugmentationSegmentation Model=Mean Teacher U-Net, Training Regime=Semi-Supervised2025.12 | 0.755 | — | |
| Conventional AugmentationSegmentation Model=Contra-Seg, Training Regime=Unsupervised2025.12 | 0.748 | — | |
| No AugmentationSegmentation Model=Contra-Seg, Training Regime=Unsupervised2025.12 | 0.74 | — |