Table 1.
Summary of studies that diagnosed COVID-19 chest x-rays with DCNNs.
| Model | Accuracy (%) | Classes | Type |
|---|---|---|---|
| COVID-Net [7] | 93.30 | Normal, COVID-19, Pneumonia | CXR |
| Modified ResNet-18 [8] | 96.37 | Normal, COVID-19, Pneumonia | CXR |
| ECOVNet-EfficientNetB3 base [10] | 97.00 | Normal, COVID-19, Pneumonia | CXR |
| Modified Xception [11] | 95.70 | Normal, COVID-19, Pneumonia | CXR |
| DarkCovidNet [12] | 87.02 | Normal, COVID-19, Pneumonia | CXR |
| DeTraC-ResNet18 [13] | 95.12 | Normal, COVID-19, SARS | CXR |
| Hierarchical EfficientNetB3 [14] | 93.51 | Normal, COVID-19, Pneumonia | CXR |