Table 7.

Evolution metrics in data augmentation approach.

Architecture	AUC	% Evolution metrics
		Accuracy	Precision	Recall	Specificity	F1-Score	MCC
AlexNet	0.89	78.50	58.70	91.53	73.05	71.52	59.09
GoogleNet	0.78	72.00	53.26	79.03	68.84	63.64	44.42
VGG-19	0.92	82.00	66.30	92.42	76.87	77.22	65.37
ShuffleNet	0.98	96.00	93.48	97.73	94.46	95.56	92.00
DenseNet-121	0.98	96.00	98.84	92.39	99.07	95.51	92.08
DenseNet-201	0.99	97.50	100.00	94.57	100.00	97.21	95.07