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. 2016 Oct 6;14:371–384. doi: 10.1016/j.csbj.2016.10.001

Table 3.

Algorithms for the segmentation of the retinal blood vessel system.

Authors Method Database(s) used No. of images Performance measure
Soares et al. [61] 2D Gabor wavelet, Bayesian classification DRIVE; STARE 60 AUC 0.9614; AUC 0.9671
Lupaşcu et al. [62] AdaBoost-based classification DRIVE 20 AUC 0.9561, ACC 0.9597
Chaudhuri et al. [63] 2D matched filters non-public dataset NA NA
Kovács and Hajdu [64] Template matching, contour reconstruction DRIVE; STARE; HRF 105 ACC 0.9494; ACC 0.9610; ACC 0.9678
Annunziata et al. [65] Hessian eigenvalue analysis, exudate inpainting STARE; HRF 65 ACC 0.9562; ACC 0.9581