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Methods Backbone Sup CRAG GlaS GlaS-A GlaS_B
ObjF1 ObjDice Dice HD ObjF1 ObjDice Dice HD ObjF1 ObjDice HD ObjF1 ObjDice HD
DCAN(report) DeepLab-v1(VGG) FullSup 0.736 0.794 218.76 0.856 0.850 94.51
DCAN DeepLab-v1(VGG) FullSup 0.754 0.806 253.93 0.827 0.853 87.85
MILD-Net(report) CNN(self-design) FullSup 0.825 0.875 160.14 0.879 0.874 73.715 0.914 0.913 41.54 0.844 0.836 105.89
MILD-Net CNN(self-design) FullSup 0.807 0.843 86.423
MedT Transformer(self-design) FullSup
SwinUnet Transformer(swinTransformer) FullSup 0.797 0.845 0.935 184.35 0.824 0.867 0.924 72.86
SwinUnet-Semi-round1 Transformer(swinTransformer) SemiSup-10% 0.579 0.684 0.857 359.76 0.781 0.804 0.891 118.93
SwinUnet-Semi-round2 Transformer(swinTransformer) SemiSup-10% 0.678 0.765 0.885 265.98 0.827 0.843 0.896 83.08
I2CS-B1(report) EfficientNet-B1 FullSup 0.834 0.877 121.42 0.860 0.881 61.78
I2CS-B1 EfficientNet-B1 FullSup 0.764 0.851 165.74 0.812 0.867 69.89

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