Brain Tissue Segmentation on HCP
85.03Dice (%)S2DNets
Evaluation Results
| Method | Links | |
|---|---|---|
| S2DNetsSegmentation Model=2D U-Net, Tissue Type=WM, TV loss=true2025.07 | 85.03 | |
| S2DNetsSegmentation Model=2D U-Net, Tissue Type=GM, TV loss=true2025.07 | 84.16 | |
| MICOSegmentation Model=2D U-Net, Tissue Type=WM2025.07 | 83.87 | |
| MICOSegmentation Model=2D U-Net, Tissue Type=GM2025.07 | 83.66 | |
| N4Segmentation Model=2D U-Net, Tissue Type=WM2025.07 | 83.36 | |
| N4Segmentation Model=2D U-Net, Tissue Type=GM2025.07 | 83.29 | |
| S2DNets*Segmentation Model=2D U-Net, Tissue Type=WM, TV loss=false2025.07 | 83.17 | |
| IRNetSegmentation Model=2D U-Net, Tissue Type=GM2025.07 | 82.82 | |
| S2DNets*Segmentation Model=2D U-Net, Tissue Type=GM, TV loss=false2025.07 | 82.39 | |
| IRNetSegmentation Model=2D U-Net, Tissue Type=WM2025.07 | 79.66 | |
| IRNetSegmentation Model=FSL, Tissue Type=WM2025.07 | 79.11 | |
| S2DNetsSegmentation Model=FSL, Tissue Type=WM, TV loss=true2025.07 | 79.11 | |
| MICOSegmentation Model=FSL, Tissue Type=WM2025.07 | 78.94 | |
| S2DNets*Segmentation Model=FSL, Tissue Type=WM, TV loss=false2025.07 | 77.12 | |
| N4Segmentation Model=FSL, Tissue Type=WM2025.07 | 74.8 | |
| S2DNetsSegmentation Model=FSL, Tissue Type=GM, TV loss=true2025.07 | 70.67 | |
| IRNetSegmentation Model=FSL, Tissue Type=GM2025.07 | 69.6 | |
| MICOSegmentation Model=FSL, Tissue Type=GM2025.07 | 69.06 | |
| N4Segmentation Model=FSL, Tissue Type=GM2025.07 | 67.18 | |
| S2DNets*Segmentation Model=FSL, Tissue Type=GM, TV loss=false2025.07 | 65.14 | |
| OriginalSegmentation Model=FSL, Tissue Type=WM2025.07 | 63.81 | |
| OriginalSegmentation Model=2D U-Net, Tissue Type=GM2025.07 | 63.71 | |
| OriginalSegmentation Model=2D U-Net, Tissue Type=WM2025.07 | 49.69 | |
| OriginalSegmentation Model=FSL, Tissue Type=GM2025.07 | 47.51 |