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Table 3 Effects of data generated by GACDN With baselines

From: GACDN: generative adversarial feature completion and diagnosis network for COVID-19

  ACC (%) SEN (%) SPE (%) AUC (%)
Radiomic     
LR 87.74 ± 1.20 90.34 ± 1.86 83.90 ± 3.07 87.12 ± 1.36
SVM 86.59 ± 1.93 89.30 ± 2.64 82.72 ± 3.57 86.01 ± 1.97
KNN 85.76 ± 3.27 90.04 ± 2.19 79.72 ± 6.96 84.88 ± 3.68
NN 87.19 ± 1.25 84.23 ± 2.75 91.60 ± 2.95 87.91 ± 1.22
Radiomic + GACDN     
LR 90.83 ± 1.25 92.41 ± 1.86 88.52 ± 2.63 90.46 ± 1.29
SVM 89.13 ± 2.06 90.24 ± 2.77 87.62 ± 3.12 88.93 ± 2.10
KNN 89.61 ± 1.78 91.97 ± 2.54 86.19 ± 2.09 89.08 ± 1.64
NN 90.23 ± 1.43 90.44 ± 1.79 90.98 ± 2.25 91.12 ± 1.36