Table 7.

Performance results of VGG16 on internal dataset

	KFold	Accuracy	Precision	Recall	Specificity	F1-score
Without GAN	Fold1	0.9787	0.9873	0.9688	0.9881	0.9780
	Fold2	0.9863	0.9937	0.9782	0.9940	0.9859
	Fold3	0.9817	0.9874	0.9751	0.9880	0.9812
	Fold4	0.9789	0.9904	0.9657	0.9910	0.9779
	Fold5	0.9817	0.9905	0.9720	0.9910	0.9811
	Overall	0.9844	0.9898	0.9720	0.9904	0.9808
With GAN	Fold1	0.9863	0.9906	0.9813	0.9910	0.9859
	Fold2	0.9863	0.9937	0.9782	0.9940	0.9859
	Fold3	0.9878	0.9968	0.9782	0.9970	0.9874
	Fold4	0.9878	0.9968	0.9782	0.9970	0.9874
	Fold5	0.9878	0.9968	0.9782	0.9970	0.9874
	Overall	0.9872	0.9949	0.9788	0.9952	0.9868