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. 2022 Dec 6;16:1043569. doi: 10.3389/fnhum.2022.1043569

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.