Table 1.
Details of previous studies carried out for the identification of COVID-19 using chest X-ray images employing deep learning models (For studies that have utilized more than 1 models, the one with the highest accuracy has been furnished).
| Work | Number of chest X-rays | Architecture | Accuracy (%) |
|---|---|---|---|
| Hemdan and Shouman (2020) | 25: COVID-19 + 25:Normal | VGG16 | 90 |
| Farooq (2020) | 68: COVID-19 + 1591: Pneumonia + 1203: Normal | COVID-ResNet | 96.23 |
| Loey et al. (2020) | 69: COVID-19 + 79: Normal + 158: Pneumonia | Googlenet | 81.5 |
| Ucar and Korkmaz (2020) | 76: COVID-19 + 1583: Normal + 4290:Pneumonia | Deep Bayes - SqeezeNet | 98.3 |
| Ezzat, Hassanien, and Ella (2020) | 99: COVID-19 + 104: Normal + 80: Pneumonia + 23: Others | GSA-DenseNet121-COVID-19 | 98.38 |
| Sethy et al. (2020) | 127: COVID-19 + 127: Normal + 127: Pneumonia | ResNet50 + SVM | 95.38 |
| Ozturk et al. (2020) | 125: COVID-19 + 500: Pneumonia + 500: Normal | DarkCovidNet | 87.02 |
| Ismael and Şengür (2021) | 180: COVID-19 + 200: Normal | ResNet50 + SVM | 94.7 |
| Luz, Silva, Silva, Silva, and Moreira (2020) | 183: COVID-19 + 8066: Normal + 5521: Pneumonia | EfficientNetB3 | 93.9 |
| Minaee et al. (2020) | 184: COVID-19 + 5000: Non-COVID-19 | SqueezeNet | 92.2 |
| Apostolopoulos and Mpesiana (2020) | 224:COVID-19 + 700:Pneumonia + 504:Normal | VGG19 | 93.48 |
| Brunese, Mercaldo, Reginelli, and Santone (2020) | 250: COVID-19 + 3520: Normal + 500: Pneumonia + 2753: Others | VGG16 | 98 |
| Jain, Mittal, Thakur, and Mittal (2020) | 250: COVID-19 + 315: Normal + 650: Pneumonia | ResNet50 & ResNet101 | 97.77 |
| Toğaçar, Ergen, and Cömert (2020) | 295: COVID-19 + 65: Normal + 98: Pneumonia | Features from combined MobileNetV2 & SqueezeNet | 99.2 |
| Mahmud, Rahman, and Fattah (2020) | 305: COVID-19 + 305: Normal + 610: Pneumonia | CovXNet | 90.2 |
| Narin and Kaya (2020) | 341: COVID-19 + 4265: Pneumonia + 2800: Normal | ResNet50 | 99. 7 |
| Afshar, Heidarian, Naderkhani, Oikonomou, and Plataniotis (2020) | 358: COVID-19 + 5538: Pneumonia + 8066: Normal | COVID-CAPS | 98.3 |
| Wang (2020) | 358: COVID-19 + 5538: Pneumonia + 8066: Normal | COVID-Net | 93.3 |
| Waheed et al. (2020) | 403: COVID-19 + 721: Normal | VGG16 | 95 |
| Karthik, Menaka, and Hariharan (2020) | 558: COVID-19 + 10,434: Normal + 4273: Pneumonia | CSDB CNN + DFL | 97.94 |