Table 8.
Comparison of the results with state of the art CNN methods using X-ray images
| Reference | Task | No of images | Method | Accuracy | Sensitivity | Specificity | Precision | F1 Score |
|---|---|---|---|---|---|---|---|---|
| Narin et al. [8] | COVID-19 | 50 | ResNet-50 | 98 | – | – | – | – |
| Normal | 50 | |||||||
| Hemdan et al. [9] | COVID-19(+) | 90 | COVIDX-Net | 90 | – | – | – | – |
| Normal | 25 | |||||||
| Khan et al. [10] | COVID-19 | 284 | CoroNet | 89.5 | 97 | 100 | – | – |
| Maghdid et al. [12] | COVID-19 | 85 | AlexNet | 94.1 | – | – | – | – |
| Razzak et al. [14] | COVID-19 | 200 | DL | 98.75 | – | – | – | – |
| Abbas et al. [15] | COVID-19 | 105 | DCNN | 95.12 | 97.91 | 91.87 | – | 93.36 |
| Afshar et al. [16] | COVID-19 | 1668 | COVID-CAPS | 95.7 | 90 | 95.8 | – | – |
| Farook et al. [19] | COVID-19 | 68 | COVID-Net | 96.23 | – | – | – | – |
| Ghoshal et al. [33] | COVID-19 | 70 | CNN | 92.9 | – | – | – | – |
| Wang et al. [34] | COVID-19 | 45 | CNN | 83.5 | – | – | – | – |
| Bac.Pneu* | 931 | |||||||
| Vir.Pneu# | 660 | |||||||
| Zhang et al. [35] | COVID-19 | 70 | ResNet | – | 96.6 | 70.7 | – | – |
| Ioannis et al. [36] | COVID-19 | 224 | VGG-19 | 93.48 | ||||
| Pneumonia | 700 | |||||||
| Normal | 504 | |||||||
| Sethy et al. [37] | COVID-19 (+) | 25 | ResNet-50 + SVM | 95.38 | ||||
| COVID-19(−) | 25 | |||||||
| Ozturk et al. [38] | COVID-19(+) | 125 | DarkCovidNet | 98.8 | – | – | – | – |
| No findings | 500 | |||||||
| COVID-19(+) | 125 | 87.02 | – | – | – | – | ||
| Pneumonia | 500 | |||||||
| No findings | 500 | |||||||
| Proposed | COVID-19 | 1000 | OptCoNet | 97.78 | 97.75 | 96.25 | 92.88 | 95.25 |
| Normal | 900 | |||||||
| Pneumonia | 900 |
*Bacterial Pneumonia, # Virus Pneumonia