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. 2022 Aug 29;129:109588. doi: 10.1016/j.asoc.2022.109588

Table 4.

Classification results of experiment 2: Using SMOTE balancing technique.

Dataset CNN ACC (%) SEN (%) SPE (%) PPV (%) NPV (%) F1 (%) AUC (%)
Dataset 1 DenseNet201 98.64 98.36 99.35 98.64 98.64 98.63 98.97
CheXNet 97.51 97.50 98.75 97.51 97.51 97.50 98.20
Xception 96.15 96.15 98.07 96.15 96.15 96.14 96.94
ResNet152 95.46 95.64 97.73 95.46 95.46 95.46 96.60
VGG19 98.19 98.19 99.09 98.19 98.19 98.19 98.63
MobileNetV2 97.51 97.51 98.75 97.54 97.54 97.50 98.13

Dataset 2 DenseNet201 92.28 92.20 96.10 92.20 92.20 92.20 94.38
CheXNet 91.19 91.19 95.59 91.18 91.18 91.12 93.42
Xception 89.44 89.43 94.71 89.43 89.43 89.43 91.81
ResNet152 91.82 91.82 95.91 91.82 91.82 91.82 93.84
VGG19 92.08 92.07 96.03 92.08 92.08 92.07 93.95
MobileNetV2 83.31 89.30 94.65 89.41 89.41 89.29 92.16

Dataset 3 DenseNet201 92.71 92.71 96.36 92.77 92.77 92.71 90.66
CheXNet 92.02 92.02 92.02 96.01 96.01 92.10 89.54
Xception 90.00 90.01 95.00 90.00 90.00 90.02 86.53
ResNet152 91.32 91.32 95.66 91.32 91.32 91.32 88.93
VGG19 93.66 93.66 96.83 93.66 93.66 93.66 92.00
MobileNetV2 91.38 91.38 95.69 91.65 91.65 91.35 89.00