Table 25.

Performance results of VGG16 on external dataset

	KFold	Accuracy	Precision	Recall	Specificity	F1-score
Withput GAN	Fold1	0.8738	0.7540	0.8488	0.8843	0.7986
	Fold2	0.8629	0.7381	0.8305	0.8765	0.7816
	Fold3	0.8666	0.7494	0.8238	0.8845	0.7849
	Fold4	0.8658	0.7352	0.8528	0.8712	0.7896
	Fold5	0.8661	0.7472	0.8260	0.	0.7847
	Overall	0.8670	0.7448	0.8364	0.8799	0.7879
With GAN	Fold1	0.9049	0.8085	0.8885	0.9118	0.8466
	Fold2	0.9022	0.7983	0.8950	0.9052	0.8439
	Fold3	0.8969	0.7963	0.8745	0.9062	0.8336
	Fold4	0.9019	0.7966	0.8968	0.9040	0.8437
	Fold5	0.9054	0.8125	0.8838	0.9145	0.8466
	Overall	0.9023	0.8024	0.8877	0.9083	0.8429