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. 2021 Jul 29;33(24):17589–17609. doi: 10.1007/s00521-021-06344-5

Table 27.

Performance results of VGG19 on external dataset

KFold Accuracy Precision Recall Specificity F1-score
Without GAN Fold1 0.8738 0.7446 0.8720 0.8746 0.8033
Fold2 0.8865 0.7709 0.8763 0.8908 0.8202
Fold3 0.8919 0.7841 0.8750 0.8990 0.8271
Fold4 0.8783 0.7525 0.8760 0.8792 0.8096
Fold5 0.8872 0.7707 0.8798 0.8903 0.8217
Overall 0.8836 0.7646 0.8758 0.8868 0.8164
With GAN Fold1 0.9048 0.8023 0.8995 0.9071 0.8401
Fold2 0.9066 0.8048 0.9028 0.9082 0.8510
Fold3 0.9116 0.8149 0.9065 0.9137 0.8583
Fold4 0.9155 0.8211 0.9130 0.9166 0.8646
Fold5 0.9044 0.7999 0.9020 0.9054 0.8479
Overall 0.9086 0.8086 0.9048 0.9102 0.8540