Table 6.
Comparative performance analysis of the proposed diagnostic method of COVID-19 with other research papers established using X-ray images
| Authors | Modality | # Classes | Model Used | Accuracy (%) |
|---|---|---|---|---|
| Hemdan et al. [13] | X-ray | Infected (COVID-19(+ ve)–25 non-infected- 25 | COVIDX-Net | 90.0 |
| Wang and Wong [24] | X-ray | Infected ( +)–53 COVID-19 ( −)–5526 No findings—8066 | COVID-Net | 92.4 |
| Sethy and Behra [10] | X-ray | Infected ( +)–25 Non-Infected ( −)–25 | ResNet50 + SVM | 95.38 |
| Ioannis et al. [25] | X-ray | Infected ( +)–224 Pneumonia–700 Healthy–504 | VGG-19 | 93.48 |
| Ozturk et al. [9] | X-ray | Infected ( +)–125 No-Infected–500 | DarkCovidNet | 98.08 |
| Infected ( +)–125 Pneumonia–500 No-Infected–500 | 87.02 | |||
| Proposed Model | X-ray | Infected ( +)–1300 No-Infected–4500 | Modified DarkCovidNet | 99.53 |
| Infected ( +)–1300 Pneumonia–4500 No-Infected—4500 | 94.13 |