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ResearchFormerly WizWand

Brain Tissue Segmentation on HCP

85.03Dice (%)S2DNets
46.009256.139666.2776.4004Jul 2, 2025
Updated 8mo ago

Evaluation results

MethodLinks
S2DNetsSegmentation Model=2D U-Net, Tissue Type=WM, TV loss=true2025.0785.03
S2DNetsSegmentation Model=2D U-Net, Tissue Type=GM, TV loss=true2025.0784.16
MICOSegmentation Model=2D U-Net, Tissue Type=WM2025.0783.87
MICOSegmentation Model=2D U-Net, Tissue Type=GM2025.0783.66
N4Segmentation Model=2D U-Net, Tissue Type=WM2025.0783.36
N4Segmentation Model=2D U-Net, Tissue Type=GM2025.0783.29
S2DNets*Segmentation Model=2D U-Net, Tissue Type=WM, TV loss=false2025.0783.17
IRNetSegmentation Model=2D U-Net, Tissue Type=GM2025.0782.82
S2DNets*Segmentation Model=2D U-Net, Tissue Type=GM, TV loss=false2025.0782.39
IRNetSegmentation Model=2D U-Net, Tissue Type=WM2025.0779.66
IRNetSegmentation Model=FSL, Tissue Type=WM2025.0779.11
S2DNetsSegmentation Model=FSL, Tissue Type=WM, TV loss=true2025.0779.11
MICOSegmentation Model=FSL, Tissue Type=WM2025.0778.94
S2DNets*Segmentation Model=FSL, Tissue Type=WM, TV loss=false2025.0777.12
N4Segmentation Model=FSL, Tissue Type=WM2025.0774.8
S2DNetsSegmentation Model=FSL, Tissue Type=GM, TV loss=true2025.0770.67
IRNetSegmentation Model=FSL, Tissue Type=GM2025.0769.6
MICOSegmentation Model=FSL, Tissue Type=GM2025.0769.06
N4Segmentation Model=FSL, Tissue Type=GM2025.0767.18
S2DNets*Segmentation Model=FSL, Tissue Type=GM, TV loss=false2025.0765.14
OriginalSegmentation Model=FSL, Tissue Type=WM2025.0763.81
OriginalSegmentation Model=2D U-Net, Tissue Type=GM2025.0763.71
OriginalSegmentation Model=2D U-Net, Tissue Type=WM2025.0749.69
OriginalSegmentation Model=FSL, Tissue Type=GM2025.0747.51