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

Table 39.

Performance results of DenseNet121 on external dataset

KFold Accuracy Precision Recall Specificity F1-score
Without GAN Fold1 0.9001 0.7982 0.8858 0.9061 0.8397
Fold2 0.8989 0.7966 0.8830 0.9055 0.8376
Fold3 0.8988 0.7894 0.8965 0.8997 0.8396
Fold4 0.9035 0.8015 0.8950 0.9071 0.8457
Fold5 0.8986 0.7908 0.8930 0.9010 0.8388
Overall 0.9000 0.7953 0.8907 0.9039 0.8403
With GAN Fold1 0.9341 0.8649 0.9248 0.9381 0.8938
Fold2 0.9372 0.8685 0.9278 0.9411 0.8972
Fold3 0.9360 0.8713 0.9190 0.9431 0.8945
Fold4 0.9314 0.8618 0.9145 0.9385 0.8874
Fold5 0.9345 0.8698 0.9153 0.9426 0.8920
Overall 0.9346 0.8673 0.9203 0.9407 0.8930