Research Article
[Retracted] Retinal Vessel Automatic Segmentation Using SegNet
Table 5
Compared with other methods on the STARE dataset.
| Method | Year | Sensitivity | Specificity | score | MCC | Accuracy | AUC |
| Neto et al. | 2015 [7] | 0.8344 | 0.9443 | / | / | 0.8894 | / | Bahadar et al. [25] | 2016 | 0.75805 | 0.9627 | / | / | 0.94585 | / | Khan et al. [27] | 2016 | 0.758 | 0.963 | / | / | 0.951 | 0.861 | Soomro et al. | 2017 | 0.784 | 0.981 | / | / | 0.9614 | / | Khan et al. [28] | 2017 | 0.752 | 0.956 | / | / | 0.948 | 0.854 | Lai et al. | 2019 | 0.7826 | 0.9803 | / | / | 0.9472 | / | Mehmood et al. [15] | 2019 | 0.741 | 0.982 | / | / | 0.957 | / | Khan et al. | 2019 | 0.791 | 0.970 | / | / | 0.957 | 0.880 | Yang et al. [34] | 2019 | 0.7202 | 0.9733 | 0.7260 | 0.7045 | 0.9477 | / | Zhou et al. | 2020 | 0.7865 | 0.9730 | / | / | 0.9535 | / | Khan et al. | 2020 | 0.792 | 0.998 | / | 0.707 | 0.996 | 0.895 | Zhou et al. | 2020 | 0.8630 | 0.9730 | 0.8233 | 0.8044 | 0.9620 | 0.9754 | Wu et al. | 2020 | 0.7963 | 0.9863 | | | 0.9672 | 0.9875 | Huang et al. | 2021 | 0.6329 | 0.9967 | 0.8049 | | 0.9683 | 0.8845 | Sun et al. | 2021 | / | / | 0.8230 | 0.8075 | 0.9714 | 0.9882 | The proposed method | 2022 | 0.7747 | 0.9910 | 0.8369 | 0.8227 | 0.9683 | 0.9893 |
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