Table 3 Comparison of evaluation metrics using advanced methods on the CHASE dataset.
From: Retina image segmentation using the three-path Unet model
Model | Year | Dice | SE | SP | Acc |
|---|---|---|---|---|---|
Unet10 | 2015 | 0.7842 | 0.7576 | 0.9826 | 0.9622 |
ReUnet11 | 2019 | 0.7928 | 0.7756 | 0.9820 | 0.9634 |
R2Unet11 | 2019 | 0.7810 | 0.7459 | 0.9836 | 0.9556 |
Jin et al.30 | 2019 | 0.7883 | 0.8155 | 0.9752 | 0.9610 |
Li et al.31 | 2020 | 0.8073 | 0.8073 | 0.9823 | 0.9655 |
Jiang et al.32 | 2021 | 0.7818 | 0.9819 | 0.9638 | |
Samuel et al.33 | 2021 | 0.7233 | 0.9865 | 0.9633 | |
Yang et al.34 | 2021 | 0.7997 | 0.8176 | 0.9776 | 0.9632 |
Tariq et al.25 | 2022 | 0.8012 | 0.9730 | 0.9578 | |
ResDO-Unet28 | 2023 | 0.8236 | 0.8020 | 0.9794 | 0.9672 |
Wang et al.29 | 2023 | 0.8358 | 0.7413 | 0.9720 | 0.9504 |
Hu et al.35 | 2023 | 0.7922 | 0.7822 | 0.9830 | 0.9652 |
Ours | 0.8162 | 0.8242 | 0.9805 | 0.9664 |
