Table 2.
Test result of different classification models on real and synthetic COVID-19 CT images.
| Model | Synthetic Test |
Real Test |
||||||
|---|---|---|---|---|---|---|---|---|
| Accuracy | Recall | Precision | F1 | Accuracy | Recall | Precision | F1 | |
| VGG16 | 94.19 | 88.15 | 100.00 | 93.70 | 94.80 | 88.15 | 98.52 | 93.05 |
| ResNet_50 | 94.83 | 89.47 | 100.00 | 94.44 | 94.10 | 89.47 | 95.32 | 92.30 |
| Inception_v3 | 96.55 | 96.05 | 96.90 | 96.47 | 95.32 | 96.05 | 92.40 | 94.19 |
| Inception_ResNet_v2 | 95.91 | 91.67 | 100.00 | 95.65 | 96.70 | 91.67 | 100.00 | 95.65 |
| DenseNet_169 | 98.92 | 97.80 | 100.00 | 98.89 | 98.09 | 97.80 | 97.37 | 97.92 |
| Average | 96.08 | 92.63 | 99.38 | 95.83 | 95.80 | 92.63 | 96.72 | 94.62 |