Table 4.

Performance comparison with existing methodologies

Publication year	Method	Accuracy	Sensitivity	Specificity
2004	Niemeijer [18]	0.9417	0.6898	0.9696
2006	Soares [28]	0.9446	0.7230	0.9762
2012	Fraz [29]	0.948	0.7406	0.9807
2014	Cheng [30]	0.9474	0.7252	0.9798
2016	Aslani [31]	0.9513	0.7545	0.9801
2018	Shahid [32]	0.958	0.730	0.9793
2018	Soomro [33]	0.953	0.752	0.976
2018	Biswal [34]	0.9541	0.71	0.97
2018	Wang [35]	0.9541	0.7648	0.9817
	DNN-based methods
2016	Li [36]	0.9527	0.7569	0.9816
2016	Liskowski [37]	0.9515	0.752	0.9806
2018	Oliveira [38]	0.9576	0.8039	0.9804
2018	Jiang [39]	0.9624	0.754	0.9825
2018	Yan [40]	0.9542	0.7653	0.9818
2018	Hu [41]	0.9533	0.7772	0.9793
2019	Proposed method (RGB)	0.954	0.8188	0.964
	Proposed method (enhanced green channel)	0.9594	0.7287	0.9818
	Proposed method (morphological operation)	0.9637	0.8653	0.9725
	Proposed method (local normalization)	0.9531	0.8172	0.9624

Values in italics specify the maximum values