Table 6.

Comparison of our proposed approach with the previous state-of-the-art

Study/model	Classification	Accuracy	Specificity	Sensitivity	Precision	F-Measure
Fillipe [23]	Binary	–	0.7300	–	–	0.8100
Khandakar [25]	Binary	0.9671	0.9458	0.9671	0.9670	0.9670
Cruz-Vega [19]	Multi-level	0.9453	0.9375	0.9534	0.9401	0.9457
AlexNet	Multi-class	0.9208	0.9532	0.8440	0.8598	0.8576
Proposed CNN	Multi-class	0.9827	0.9892	0.9684	0.9626	0.9621