Table 6. Extended experiments for dataset A.
| Network | DSC | AER | HE | MAE |
|---|---|---|---|---|
| SegNet | 0.71 | 0.66 | 90.6 | 52.5 |
| CE-Net | 0.80 | 0.51 | 75.1 | 31.1 |
| DenseU-net | 0.76 | 0.62 | 91.1 | 45.3 |
| MultiResUNet | 0.74 | 0.79 | 114.2 | 70.8 |
| GDUNet | 0.81* | 0.48* | 73.8* | 28.5* |
*, best result in the table. DSC, Dice similarity coefficient; AER, area error ratio; HE, Hausdorff error; MAE, mean absolute error; SegNet, deep fully convolutional neural network architecture for semantic pixel-wise segmentation; CE-Net, context encoder network; MultiResUNet, the U-Net Architecture for Multimodal Biomedical Image Segmentation; GDUNet, attention gate and dilation U-shaped network.