Table 8.
An evaluation of COVID-19 patient detection papers from the cutting-edge methods (numbers were calculated by percent).
Authors | Method | Precision | Recall | F1 | ACC | Security? | TL? |
---|---|---|---|---|---|---|---|
Scarpiniti, Sarv Ahrabi [68] | A histogram-based | 90.1 | 90.3 | 90.4 | 91 | No | No |
Perumal, Narayanan [69] | CNN | 92.3 | 91.5 | 92.6 | 93 | No | No |
Uemura, Näppi [70] | GAN | 95.1 | 95.4 | 96 | 95.3 | No | No |
Zhao, Xu [71] | 3D V-Net | 97.4 | 97.7 | 97.2 | 98.7 | No | No |
Hu, Huang [72] | DNN | 97.2 | 97.1 | 98.2 | 99 | No | No |
Toğaçar, Muzoğlu [73] | CNN | 97.6 | 97.3 | 98.1 | 99.1 | No | No |
Castiglione, Vijayakumar [74] | ADECO-CNN | 98.2 | 98.6 | 98.4 | 99 | No | Yes |
Kumar, Khan [19] | FL | 98.3 | 98.5 | 98.6 | 99.1 | Yes | No |
Ours | Lightweight CNN | 99.9 | 99.40 | 99.4 | 99.76 | Yes | Yes |