Table 3.
Performance evaluation of different deep learning techniques on the binary dataset
| State-of-the-art | Accuracy (%) |
|---|---|
| ResNet50 + SVM (Sethy and Behera 2020) | 95.38 |
| CovidGAN (Waheed et al. 2020) | 95 |
| COVIDX-Net (Hemdan et al. 2020) | 90 |
| CAAD (Zhang et al. 2020) | 72.77 |
| CNN trained from scratch (Maghdid et al. 2020) | 94 |
| Proposed ensemble model | 96.15 |
Accuracy of the proposed ensemble model is highlighted to emphasize on the highest accuracy value with respect to the other techniques that have been utilized for binary classification