Research Article
D2-CovidNet: A Deep Learning Model for COVID-19 Detection in Chest X-Ray Images
Table 7
Comparison of D2-CovidNet with other deep learning methods developed using X-ray images.
| Method | Numbers of cases | Model | Accuracy (%) | Params (million) |
| Ioannis et al. [8] | 224 COVID-19 | Xception | 92.85 | 33.00 | 700 pneumonia | 504 normal |
| Wang et al. [9] | 358 COVID-19 | CovidNet | 93.30 | 11.75 | 5538 pneumonia | 8066 normal |
| Khan et al. [10] | 284 COVID-19 | CoroNet | 94.59 | 33.00 | 657 pneumonia | 310 normal |
| Ozturk et al. [11] | 125 COVID-19 | DarkCovidNet | 87.02 | 1.10 | 500 pneumonia | 500 normal |
| Our method | 412 COVID-19 | D2-CovidNet | 94.43 | 0.20 | 4265 pneumonia | 1575 normal |
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