Table 5.
Performance comparison with other lesion segmentation methods on the original ISIC 2017 test dataset
| Methods | Year | Jac | Dsc | Acc |
|---|---|---|---|---|
| Al-Masni et al. [26] | 2018 | 0.771 | 0.871 | 0.940 |
| Tschandl et al. [27] | 2019 | 0.768 | 0.851 | |
| Yuan and Lo [28] | 2019 | 0.765 | 0.849 | 0.934 |
| Navarro et al. [50] | 2019 | 0.769 | 0.854 | 0.955 |
| Xieet al. [29] | 2020 | 0.783 | 0.862 | 0.938 |
| Ozturk and Ozkaya [30] | 2020 | 0.783 | 0.886 | 0.953 |
| Shan et al. [51] | 2020 | 0.763 | 0.846 | 0.937 |
| Kaymak et al. [52] | 2020 | 0.725 | 0.841 | 0.939 |
| Nguyen et al. [40] | 2020 | 0.781 | 0.861 | |
| Zafar et al. [36] | 2020 | 0.772 | 0.858 | |
| Goyal et al. [53] | 2020 | 0.793 | 0.871 | |
| Tong et al. [32] | 2021 | 0.742 | 0.926 | |
| Chen et al. [54] | 2022 | 0.8036 | 0.8704 | 0.9471 |
| Ashraf et al. [55] | 2022 | 0.8005 | ||
| Our method | 0.807 | 0.880 | 0.948 |
The bold values emphasize the highest values