Table 5.

Evaluation metrics obtained for our proposed method using different public databases.

				Accuracy (%)			Other Performance Measurement Factors
Database	Collected from	Number of cases	Method	AVG	Min	Max	PPV (%)	Recall (%)	Specificity (%)	F1-score (%)	Loss	AUC
[53]	Bangladesh	1820	CNN-Sigmoid	91.39	90.02	92.56	93.40	94.00	89.93	93.70	0.69	0.92
			CNN-SVM	98.25	96.35	99.06	98.00	98.80	97.87	98.40	0.80	0.98
			CNN-Sigmoid + Sobel	98.46	96.25	99.63	98.80	98.40	98.68	98.60	0.01	0.98
			CNN-SVM + Sobel	99.61	97.98	100	99.60	99.80	99.57	99.70	0.80	0.99
[54]	India	1160	CNN-Sigmoid	96.47	93.56	97.98	96.00	100	92.86	97.96	0.20	0.96
			CNN-SVM	97.82	94.89	99.28	97.10	100	95.46	98.53	0.80	0.98
			CNN-Sigmoid + Sobel	99.56	98.67	100	99.30	100	99.26	99.65	0.01	0.99
			CNN-SVM + Sobel	99.98	97.59	100	99.95	100	99.97	99.97	0.79	0.99
[55]	Italy	1550	CNN-Sigmoid	85.92	83.62	89.65	87.30	86.20	83.75	86.75	1.44	0.85
			CNN-SVM	86.60	82.78	89.63	97.30	87.30	70.99	92.03	0.84	0.84
			CNN-Sigmoid + Sobel	94.97	93.04	97.05	97.80	96.50	85.07	97.15	0.15	0.91
			CNN-SVM + Sobel	96.86	94.67	98.14	96.80	99.70	78.56	98.23	0.82	0.89
[56]	India	1120	CNN-Sigmoid	97.54	95.63	99.04	96.60	99.40	95.81	97.98	0.07	0.97
			CNN-SVM	99.10	97.46	100	99.50	98.80	99.37	99.15	0.80	0.99
			CNN-Sigmoid + Sobel	99.46	98.73	99.98	98.90	100	99.05	99.45	0.01	0.99
			CNN-SVM + Sobel	99.92	98.91	100	99.80	100	99.84	99.90	0.80	0.99
[57]	Singapore	460	CNN-Sigmoid	89.67	86.07	92.56	92.90	92.70	83.42	92.80	0.33	0.88
			CNN-SVM	97.61	94.92	99.46	99.70	96.50	99.33	98.07	0.80	0.98
			CNN-Sigmoid + Sobel	98.04	96.35	99.79	99.10	98.70	98	98.90	0.05	0.98
			CNN-SVM + Sobel	99.35	97.43	100	99.10	100	98	99.55	0.79	0.99
[58]	Unknown	1930	CNN-Sigmoid	97.50	95.68	99.63	98.10	99.00	73.32	98.55	0.10	0.86
			CNN-SVM	97.30	94.57	98.79	97.90	99.30	66.69	98.60	0.82	0.83
			CNN-Sigmoid + Sobel	98.18	95.76	98.67	97.90	100	71.64	98.94	0.15	0.86
			CNN-SVM + Sobel	98.07	96.38	99.46	97.90	99.90	71.64	98.89	0.81	0.86