Table 9.
Comparison (using CXRs + CT scans): Existing DNNs and the proposed DNN
Metrics | InceptionV3 | MobileNet | ResNet | Proposed DNN |
---|---|---|---|---|
Sensitivity (Recall) | 0.6935 | 0.7708 | 0.9375 | 0.9792 |
Specificity | 0.744 | 0.8869 | 0.878 | 0.9464 |
Precision | 0.7304 | 0.8721 | 0.8848 | 0.9481 |
False positive rate | 0.256 | 0.1131 | 0.122 | 0.0536 |
False negative rate | 0.3065 | 0.2292 | 0.0625 | 0.0208 |
Accuracy (%) | 71.88 | 82.89 | 90.77 | 96.28 |
F1 Score | 0.7115 | 0.8183 | 0.9104 | 0.9634 |
AUC | 0.8011 | 0.8951 | 0.9616 | 0.9808 |