Efficient BFCN for Automatic Retinal Vessel Segmentation

Table 5

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

Method	Year	Sensitivity	Specificity	Accuracy	F-measure
Singh and Srivastava [8]	2016	0.77939	0.9376	0.9270	—
Lázár and Hajdu [38]	2015	0.7248	0.9751	0.9492	—
Zhao et al. [39]	2017	0.789	0.978	0.956	—
Zhang et al. [40]	2017	0.7882	0.9729	0.9547	0.7815
Yan et al. [41]	2018	0.8979	0.9701	0.9646	—
Lu [45]	2018	0.8090	0.9770	0.9628	—
Jin et al. [27]	2019	0.7595	0.9878	0.9641	0.8143
Li et al. [46]	2019	0.8465	-	0.9673	0.8435
Samuel and Veeramalai [21]	2019	0.8282	0.9738	0.9609	—
Ours	2019	0.8287	0.9896	0.9735	0.8442