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Segmentation on LD-LiTS (test)

0.9391Dice ScoreTOD-Net
0.7925640.8306070.868650.906693Mar 25, 2021

Evaluation results

MethodLinks
TOD-NetDownstream Segmentation Model=U-Net2021.030.9391
SA-WGANDownstream Segmentation Model=U-Net2021.030.9299
TOD-NetDownstream Segmentation Model=Res-U-Net2021.030.9277
MSE-WGANDownstream Segmentation Model=U-Net2021.030.9245
TOD-NetDownstream Segmentation Model=V-Net2021.030.9244
VGG-WGANDownstream Segmentation Model=U-Net2021.030.9234
MSE-WGANDownstream Segmentation Model=Res-U-Net2021.030.9195
TOD-NetDownstream Segmentation Model=Vox-ResNet2021.030.9186
VGG-WGANDownstream Segmentation Model=Res-U-Net2021.030.9182
MSE-WGANDownstream Segmentation Model=V-Net2021.030.9176
SA-WGANDownstream Segmentation Model=Res-U-Net2021.030.9146
SA-WGANDownstream Segmentation Model=V-Net2021.030.9137
VGG-WGANDownstream Segmentation Model=V-Net2021.030.9121
VGG-WGANDownstream Segmentation Model=Vox-ResNet2021.030.9044
No denoiserDownstream Segmentation Model=Res-U-Net2021.030.9036
No denoiserDownstream Segmentation Model=V-Net2021.030.8975
MSE-WGANDownstream Segmentation Model=Vox-ResNet2021.030.8949
SA-WGANDownstream Segmentation Model=Vox-ResNet2021.030.8926
No denoiserDownstream Segmentation Model=U-Net2021.030.8875
No denoiserDownstream Segmentation Model=Vox-ResNet2021.030.7982