Table 14.
Comparative study with State-of-the-art studies.
| Study | Model | Dataset size | CT or X-ray | Accuracy |
|---|---|---|---|---|
| Khan et al. (2020) | CoroNet | 1,300 | X-ray | 89.60% |
| Hemdan et al. (2020) | COVIDX-Net | 50 | X-ray | 90.00% |
| El Asnaoui and Chawki (2020) | InceptionResNetV2 | 6,087 | X-ray | 92.18% |
| Shah et al. (2021) | VGG19 | 738 | CT | 94.52% |
| Yasar and Ceylan (2021) | MobilenetV2 | 1,396 | CT | 95.99% |
| Toraman et al. (2020) | InstaCovNet-19 | 3,150 | X-ray | 97.24% |
| Apostolopoulos and Mpesiana (2020) | MobileNetV2 | 1,428 | X-ray | 97.40% |
| Ozturk et al. (2020) | DarkCovidNet | 127 | X-ray | 98.08% |
| Nayak, Nayak, Sinha, Arora, and Pachori (2021) | ResNet34 | 500 | X-ray | 98.33% |
| Apostolopoulos and Mpesiana (2020) | VGG19 | 1,428 | X-ray | 98.75% |
| Zhou et al. (2021) | Ensemble Model | 5,000 | CT | 99.05% |
| Current Study | CovH2SD (VGG19) | 15,535 | CT | 99.33% |