TABLE 3.
Performance comparison with SOTA methods on ISIC 2017 and PH2 datasets. , , and indicate the best, second best and third best performance.
| Network | ISIC 2017 dataset | PH2 dataset | #Params | Model size | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Acc | IoU | Dice | Sens | Spec | Acc | IoU | Dice | Sens | Spec | |||
| FrCN Al-Masni et al. (2018) | 0.771 | 0.854 | 0.967 | 0.951 | 0.848 | 0.918 | 0.937 | 0.957 | — | — | ||
| FocusNet Tong et al. (2015) | 0.921 | 0.756 | 0.832 | 0.767 | — | — | — | — | — | — | — | |
| SegNet Kaul et al. (2019) | 0.918 | 0.696 | 0.821 | 0.801 | 0.954 | 0.934 | 0.808 | 0.894 | 0.865 | 28.09M | 112 MB | |
| DSNet Gu et al. (2019) | — | — | 0.967 | — | — | 0.929 | — | |||||
| DAGAN Valanarasu and Patel (2022) | 0.935 | 0.771 | 0.835 | — | — | — | — | — | — | — | ||
| FATNet Wu et al. (2022) | 0.933 | 0.765 | 0.850 | 0.839 | 0.973 | — | — | — | — | — | 27.43 M | 109 MB | 
| ResGANet Cheng et al. (2022) | 0.936 | 0.764 | 0.842 | 0.950 | — | — | — | — | — | 39.21M | — | |
| U-Net Ronneberger et al. (2015) | 0.926 | 0.736 | 0.825 | 0.828 | 0.964 | 0.943 | 0.851 | 0.915 | 0.946 | 0.957 | 29.59 M | 118 MB | 
| U-Net++ Berseth (2017) | 0.929 | 0.753 | 0.840 | 0.848 | 0.965 | 0.948 | 0.853 | 0.917 | 0.937 | 34.48 M | 138 MB | |
| Double U-Net Isensee et al. (2021) | 0.936 | 0.765 | 0.847 | 0.830 | 0.970 | 0.942 | 0.860 | 0.915 | 0.934 | 0.953 | 27.94 M | 112 MB | 
| FCANet Hu et al. (2018) | 0.935 | 0.856 | 0.962 | 0.868 | 0.926 | 0.926 | 59.97 M | 241 MB | ||||
| Att U-Net Cheng et al. (2020) | 0.757 | 0.840 | 0.859 | 0.957 | 0.951 | 0.868 | 0.926 | 0.953 | 0.955 | 30.42 M | 121 MB | |
| R2U-Net Cheng et al. (2022) | 0.859 | 0.969 | 0.952 | 0.954 | 0.960 | 91.61 M | 366 MB | |||||
| Att R2U-Net Cheng et al. (2022) | 0.857 | 0.857 | 0.961 | 0.949 | 0.962 | 92.11 M | 368 MB | |||||
| BiO-Net (t = 3) Zhou et al. (2018) | 0.937 | 0.772 | 0.852 | 0.845 | 0.973 | 0.944 | 0.851 | 0.915 | 0.963 | 0.931 | ||
| BiO-Net (t = 3, INT) Zhou et al. (2018) | 0.934 | 0.754 | 0.840 | 0.821 | 0.945 | 0.851 | 0.909 | 0.944 | ||||
| UNeXt-L Valanarasu and Patel (2022) | 0.935 | 0.773 | 0.856 | 0.864 | 0.966 | 0.949 | 0.859 | 0.919 | 0.941 | 0.955 | ||
| PL-Net† (Our) | 0.932 | 0.769 | 0.852 | 0.953 | 0.945 | 0.852 | 0.915 | 0.955 | 0.957 | |||
| PL-Net (Our) | 0.848 | 15.03 M | ||||||||||
The bold values indicates the best performance.