Efficient BFCN for Automatic Retinal Vessel Segmentation

Table 6

Comparison between the results of the BFCN and other methods on the CHASE dataset.

Method	Year	Sensitivity	Specificity	Accuracy	F-measure
Zhang et al. [40]	2017	0.7644	0.9716	0.9502	0.7581
Yan et al. [41]	2018	0.7641	0.9806	0.9607	—
Alom [42]	2018	0.7756	0.9802	0.9634	0.7928
Zhuang [43]	2018	0.7978	0.9818	0.9656	0.8031
Wang et al. [44]	2019	0.8074	0.9821	0.9661	0.8037
Lu [45]	2018	0.7571	0.9823	0.9664	—
Jin et al. [27]	2019	0.8155	0.9752	0.9610	0.7883
Ours	2019	0.8323	0.9851	0.9688	0.8102