Research Article
Efficient BFCN for Automatic Retinal Vessel Segmentation
Figure 9
Comparison between the segmented image of the BFCN and other methods on the DRIVE, STARE, and CHASE datasets. (a) Original image, (b) ground truth, (c) method in the study by Yan et al. [41], (d) method in the study by Samuel and Veeramalai [21], (e) ours, (f) original image, (g) ground truth, (h) method in the study by Yan et al. [41], (i) method in the study by Samuel and Veeramalai [21], (j) ours, (k) original image, (l) ground truth, (m) method in the study by Zhuang [43], and (n) method in the study by Wang et al. [44], and (o) ours.
(a) |
(b) |
(c) |
(d) |
(e) |
(f) |
(g) |
(h) |
(i) |
(j) |
(k) |
(l) |
(m) |
(n) |
(o) |