Table 6.

Results with CycleGAN.

Network	Accuracy (%)	Precision (%)	Recall (%)	F1-score (%)	AUC (%)	ECE
Densenet-121	89.24 ± 3.78	81.67 ± 5.84	96.23 ± 2.45	88.64 ± 3.55	97.22 ± 1.89	0.060 ± 0.026
EfficientNet-B3	98.25 ± 2.57	97.03 ± 3.51	99.28 ± 2.20	98.05 ± 2.80	99.79 ± 0.90	0.058 ± 0.185
Resnet-50	96.20 ± 0.79	94.09 ± 1.33	97.49 ± 1.11	95.78 ± 0.87	99.43 ± 0.42	0.033 ± 0.028
ResNeSt-50	98.89 ± 1.09	98.58 ± 1.34	99.10 ± 1.70	98.75 ± 1.24	99.95 ± 0.22	0.013 ± 0.006
ViT	99.20 ± 2.91	98.92 ± 3.97	98.92 ± 2.41	99.10 ± 3.19	99.95 ± 0.92	0.068 ± 0.037