Table 3.
CT-scan image classification result using RNN and CNN for COVID-19 detection.
| Threshold | True positive (COVID-19) | False positive (Non COVID-19) | True negative (COVID-19) | False negative (Non COVID-19) | Total number of tested images | Sensitivity (%) | Specificity (%) | Accuracy (%) |
|---|---|---|---|---|---|---|---|---|
| 0.5 | 88 | 24 | 1320 | 34 | 1466 | 72.13 | 98.21 | 96.04 |
| 0.6 | 91 | 21 | 1325 | 29 | 75.83 | 98.43 | 96.58 | |
| 0.7 | 96 | 16 | 1330 | 24 | 80.00 | 98.81 | 97.27 | |
| 0.8 | 100 | 12 | 1338 | 16 | 86.20 | 99.11 | 98.09 | |
| 0.9 | 104 | 8 | 1342 | 12 | 89.65 | 99.40 | 98.63 | |
| 1 | 108 | 4 | 1348 | 6 | 94.73 | 99.70 | 99.31 |