Table 5.
Results of CORONA-Net compared to state-of-the-art methods.
| Method | Classes | Cases per Class | Type of Network | Accuracy (%) |
|---|---|---|---|---|
| Ioannis et al. [23] | COVID-19 (+) | 224 | VGG-19 | 93.48 |
| Pneumonia | 700 | |||
| Healthy | 504 | |||
| Narin et al. [21] | COVID-19 (+) | 50 | ResNet 50 | 95 |
| COVID-19 (−) | 50 | |||
| Wang and Wong [36] | COVID-19 (+) | 53 | COVID-Net | 92.4 |
| COVID-19 (−) | 5526 | |||
| Healthy | 8066 | |||
| Hemdan et al. [20] | COVID-19 (+) | 25 | COVIDX-Net | 90.0 |
| Normal | 25 | |||
| Sethy and Behra [29] | COVID-19 (+) | 25 | ResNet50 | 95.38 |
| COVID-19 (−) | 25 | |||
| CORONA Net (ours) | COVID-19 (+) | 358 | VGG-16 | 95.84 |
| Pneumonia | 8066 | |||
| Healthy | 5538 |