Table 2.
Hyperparameters of architectures for Covid-19 detection.
| Model | Data augmentation | Software | Input size | Optimizer | Learning rate | Batch size |
|---|---|---|---|---|---|---|
| DenseNet | No | Keras, TensorFlow | 224 × 224 | Adam | 0.0001 | 32 |
| AlexNet | No | Keras, TensorFlow | 224 × 224 | Adam | 0.0001 | 32 |
| ResNet | No | Keras, TensorFlow | 224 × 224 | Adam | 0.0001 | 32 |
| CspNet [98] | No | Keras, TensorFlow | 224 × 224 | Adam | 0.0001 | 32 |
| VGG16 | No | Keras, TensorFlow | 224 × 224 | Adam | 0.0001 | 32 |
| VGG19 | No | Keras, TensorFlow | 224 × 224 | Adam | 0.0001 | 32 |
| CovXNet [42] | Yes | Keras, TensorFlow | 128 × 128 | Adam | 0.001 | 16 |
| CoroNet [40] | Yes | Keras, TensorFlow | 150 × 150 | Adam | 0.0001 | 10 |
| CovidXrayNet [41] | Yes | Fastai, PyTorch | 256 × 256 | Adam | – | 32 |
| DarkCovidNet [39] | No | Fastai, PyTorch | 256 × 256 | Adam | 0.003 | 32 |
| Proposed (No DDC) | No | Keras, TensorFlow | 128 × 128 | Adam | 0.001 | 32 |
| Proposed | No | Keras, TensorFlow | 128 × 128 | Adam | 0.001 | 32 |