Table 2.
The hyper-parameters of the best-trained models (e.g., ResNet34 and HRNet) used in the proposed COVID-CheXNet system
| ResNet34 model | HRNet model | ||
|---|---|---|---|
| Hyper-parameters | Values | Hyper-parameters | Values |
| Optimizer | Adam | Optimizer | SGD |
| Momentum | 0.95 | Momentum | 0.9 |
| Weight decay | 0.0005 | Weight decay | 0.0005 |
| Batch size | 100 | Batch size | 100 |
| Dropout | 0.5 | Dropout | 0.5 |
| Learning rate | 0.01 | Learning rate | 0.01 |
| Factor | 0.7 | Factor | 0.9 |
| Patience | 5 | Patience | 5 |
| Total no. of epochs | 10 | Total no. of epochs | 20 |