[Retracted] Retinal Vessel Automatic Segmentation Using SegNet

Table 5

Compared with other methods on the STARE dataset.

Method	Year	Sensitivity	Specificity	score	MCC	Accuracy	AUC
Neto et al.	2015 [7]	0.8344	0.9443	/	/	0.8894	/
Bahadar et al. [25]	2016	0.75805	0.9627	/	/	0.94585	/
Khan et al. [27]	2016	0.758	0.963	/	/	0.951	0.861
Soomro et al.	2017	0.784	0.981	/	/	0.9614	/
Khan et al. [28]	2017	0.752	0.956	/	/	0.948	0.854
Lai et al.	2019	0.7826	0.9803	/	/	0.9472	/
Mehmood et al. [15]	2019	0.741	0.982	/	/	0.957	/
Khan et al.	2019	0.791	0.970	/	/	0.957	0.880
Yang et al. [34]	2019	0.7202	0.9733	0.7260	0.7045	0.9477	/
Zhou et al.	2020	0.7865	0.9730	/	/	0.9535	/
Khan et al.	2020	0.792	0.998	/	0.707	0.996	0.895
Zhou et al.	2020	0.8630	0.9730	0.8233	0.8044	0.9620	0.9754
Wu et al.	2020	0.7963	0.9863			0.9672	0.9875
Huang et al.	2021	0.6329	0.9967	0.8049		0.9683	0.8845
Sun et al.	2021	/	/	0.8230	0.8075	0.9714	0.9882
The proposed method	2022	0.7747	0.9910	0.8369	0.8227	0.9683	0.9893