Research Article
Robust Detection Model of Vascular Landmarks for Retinal Image Registration: A Two-Stage Convolutional Neural Network
Table 2
Comparison of the segmentation performance on DRIVE database.
| Method | Sensitivity | Specificity | Accuracy | AUC |
| Unsupervised method | | | | | Aguirre-Ramos et al. [34] | 0.785 | 0.966 | 0.953 | — | Shah et al. [35] | 0.742 | 0.977 | 0.947 | — | Memari et al. [36] | 0.761 | 0.981 | 0.961 | 0.871 | Solís-Pérez et al. [37] | 0.827 | 0.965 | 0.956 | — | Zhou et al. [38] | 0.726 | 0.980 | 0.948 | — | Supervised method | | | | | Zhuang [39] | 0.786 | 0.981 | 0.956 | 0.979 | Alom et al. [40] | 0.779 | 0.981 | 0.956 | 0.978 | Guo et al. [41] | 0.789 | 0.980 | 0.956 | 0.981 | Feng et al. [42] | 0.762 | 0.981 | 0.953 | 0.968 | Kushol et al. [43] | 0.759 | 0.975 | 0.946 | — | Adapa et al. [44] | 0.629 | 0.984 | 0.945 | 0.951 | Jin et al. [45] | 0.739 | 0.983 | — | 0.976 | Khan et al. [46] | 0.825 | 0.979 | 0.965 | 0.978 | Proposed method | 0.805 | 0.982 | 0.966 | 0.982 |
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