Research Article
[Retracted] Retinal Vessel Automatic Segmentation Using SegNet
Table 4
Compared with other methods on the DRIVE dataset.
| Method | Year | Sensitivity | Specificity | score | MCC | Accuracy | AUC |
| Neto et al. | 2015 [7] | 0.7806 | 0.9629 | / | / | 0.8718 | / | Bahadar et al. [27] | 2016 | 0.7462 | 0.9801 | / | / | 0.96075 | 0.882 | Khan et al. [27] | 2016 | 0.746 | 0.980 | / | / | 0.961 | 0.863 | Khan et al. [28] | 2017 | 0.754 | 0.964 | / | / | 0.944 | 0.859 | Cao et al. | 2017 | 0.7663 | 0.9311 | / | / | 0.9174 | / | Soomro et al. | 2017 | 0.7523 | 0.976 | / | / | 0.9432 | / | Cai et al. | 2019 | 0.7787 | 0.9701 | / | / | 0.9520 | / | Mehmood et al. [15] | 2019 | 0.737 | 0.976 | / | / | 0.953 | / | Khan et al. | 2019 | 0.754 | 0.964 | / | / | 0.944 | / | Lai et al. | 2019 | 0.7843 | 0.9815 | / | / | 0.9457 | / | Yang et al. [34] | 2019 | 0.7560 | 0.9696 | 0.7673 | 0.7365 | 0.9421 | / | Zhou et al. | 2020 | 0.7262 | 0.9803 | / | / | 0.9475 | / | Khan et al. | 2020 | 0.797 | 0.973 | / | 0.739 | 0.958 | 0.885 | Zhou et al. | 2020 | 0.8432 | 0.9681 | 0.8163 | 0.7905 | 0.952 | 0.9754 | Wu et al. | 2020 | 0.7996 | 0.9813 | | | 0.9582 | 0.9830 | Huang et al. | 2021 | 0.8011 | 0.9849 | 0.8099 | / | 0.9701 | 0.8895 | The proposed method | 2022 | 0.7580 | 0.9804 | 0.7992 | 0.7749 | 0.9518 | 0.9750 |
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