Table 3.
Summary of results.
| Dataset | Number of images | Model | Training accuracy | Testing accuracy | Time elapsed (min) |
|---|---|---|---|---|---|
| COVID-19 X-ray | 188 | AlexNet | 90.2 | 92.2 | 24 |
| GoogLeNet | 89.4 | 91.4 | 35 | ||
| Proposed DCGAN-CNN | 93.8 | 94.8 | 30 | ||
|
| |||||
| COVID Chest X-ray | 803 | AlexNet | 92.5 | 93.5 | 129 |
| GoogLeNet | 88.5 | 90.5 | 135 | ||
| Proposed DCGAN-CNN | 94.6 | 96.6 | 125 | ||
|
| |||||
| COVID-19 Radiography | 5910 | AlexNet | 96.3 | 96.7 | 2563 |
| GoogLeNet | 94.5 | 95.5 | 2660 | ||
| Proposed DCGAN-CNN | 98.4 | 98.5 | 1960 | ||
|
| |||||
| CoronaHack-Chest X-Ray | 5911 | AlexNet | 96.2 | 97.2 | 2663 |
| GoogLeNet | 95.4 | 96.4 | 2726 | ||
| Proposed DCGAN-CNN | 97.6 | 98.6 | 2116 | ||