[Retracted] Retinal Vessel Automatic Segmentation Using SegNet

Table 1

Statistical scores achieved on the DRIVE dataset.

Images	Sensitivity	Specificity		MCC	Accuracy	AUC
Test01	0.8220	0.9673	0.8064	0.7767	0.9483	0.9803
Test02	0.8290	0.9766	0.8452	0.8188	0.9545	0.9824
Test03	0.6793	0.9855	0.7699	0.7454	0.9408	0.9692
Test04	0.7507	0.9852	0.8128	0.7903	0.9539	0.9685
Test05	0.7266	0.9865	0.8019	0.7799	0.9513	0.9706
Test06	0.6949	0.9861	0.7811	0.7578	0.9450	0.9665
Test07	0.7180	0.9862	0.7940	0.7719	0.9507	0.9679
Test08	0.6919	0.9861	0.7738	0.7523	0.9492	0.9706
Test09	0.6914	0.9862	0.7702	0.7496	0.9515	0.9690
Test10	0.7495	0.9815	0.7948	0.7706	0.9538	0.9724
Test11	0.7629	0.9770	0.7957	0.7677	0.9492	0.9681
Test12	0.7460	0.9830	0.8001	0.7764	0.9533	0.9780
Test13	0.7289	0.9816	0.7922	0.7651	0.9458	0.9686
Test14	0.8022	0.9779	0.8153	0.7912	0.9572	0.9818
Test15	0.8086	0.9773	0.8067	0.7843	0.9598	0.9814
Test16	0.7720	0.9791	0.8079	0.7816	0.9520	0.9806
Test17	0.7112	0.9836	0.7781	0.7545	0.9500	0.9756
Test18	0.8137	0.9725	0.8034	0.7776	0.9542	0.9816
Test19	0.8522	0.9734	0.8327	0.8095	0.9588	0.9837
Test20	0.8100	0.9747	0.8012	0.7773	0.9571	0.9823