Research Article
Compound W-Net with Fully Accumulative Residual Connections for Liver Segmentation Using CT Images
Table 3
Quantitative comparison between our models and other models using 3Dircadb dataset.
| Model | Dice | Testing | % | Normal data Dice % | Augmented data Dice % |
| U-Net [16] | | 46.49 | 60.07 | Bridge U-Net [17] | | 73.21 | 60.31 | Our modified bridge | | 79.12 | 60.10 | Our compound model | | 89.88 | 94.42 | U-Net [32] | | | | FCN-8 s [32] | | | | 3D DSN [32] | | | | DecNet [32] | | | | FCN [32] | 93.30 | | | Cascaded UNet+CRF [32] | 93.10 | | | DC U-Net [32] | | | | mU-Net [20] | | | | UNET [28] | 72.90 | | | Cascaded UNET [28] | 93.10 | | | Cascaded UNET +3D CRF [28] | 94.30 | | |
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