Table 3.
Accuracy, Recall, Precision and F1 Score obtained by executing MobileNet, DenseNet121, ResNet50, VGG16, InceptionV3 and XceptionNet taking COVID-CT-Dataset and employing super resolution operation.
| Model Name | Accuracy | Recall | Precision | F1 Score | 
|---|---|---|---|---|
| MobileNet | 94.12 | 96.11 | 96.11 | 96.11 | 
| DenseNet121 | 88.24 | 92.36 | 84.72 | 88.36 | 
| ResNet50 | 73.53 | 75.49 | 70.11 | 72.60 | 
| VGG16 | 85.29 | 83.38 | 93.37 | 87.54 | 
| InceptionV3 | 94.10 | 96.53 | 92.82 | 94.57 | 
| XceptionNet | 85.29 | 87.28 | 85.79 | 86.52 |