Table 6.
Comparison of ResNet, DenseNet, MobileNetV2, and DeepLabv3+ as backbone.
| Methods | Drishti-GS dataset | RIM-ONE-r3 dataset | ||||
|---|---|---|---|---|---|---|
| DSC cup | DSC disc | δ | DSC cup | DSC disc | δ | |
| ResNet (He et al., 2016) | 0.849 | 0.962 | 0.089 | 0.875 | 0.895 | 0.083 |
| DenseNet (Huang et al., 2017) | 0.831 | 0.954 | 0.122 | 0.782 | 0.892 | 0.126 |
| MobileNetV2 (Sandler et al., 2018) | 0.834 | 0.948 | 0.099 | 0.772 | 0.880 | 0.102 |
| DeepLabv3+ (Chen et al., 2018) | 0.857 | 0.962 | 0.083 | 0.791 | 0.898 | 0.082 |
The best result of the column is shown in bold.