Table 23.

Performance results of DenseNet169 on internal dataset

	KFold	Accuracy	Precision	Recall (Sensitivity)	Specificity	F1-score
Without GAN	Fold1	0.9939	1.0000	0.9875	1.0000	0.9937
	Fold2	0.9924	0.9938	0.9907	0.9940	0.9922
	Fold3	0.9924	0.9969	0.9875	0.9970	0.9922
	Fold4	0.9893	0.9906	0.9875	0.9910	0.9891
	Fold5	0.9878	0.9906	0.9844	0.9910	0.9875
	Overall	0.9911	0.9944	0.9875	0.9946	0.9909
With GAN	Fold1	0.9939	1.000	0.9875	1.000	0.9937
	Fold2	0.9939	0.9938	0.9938	0.9940	0.9938
	Fold3	0.9939	0.9969	0.9907	0.9970	0.9938
	Fold4	0.9939	0.9969	0.9907	0.9970	0.9938
	Fold5	0.9908	0.9937	0.9875	0.9940	0.9906
	Overall	0.9933	0.9962	0.9900	0.9964	0.9931