Table 8. Comparison with other CNN architectures.
VGG19 Pre-trained model | Tuning mode | Performance metrics (%) | ||
---|---|---|---|---|
Accuracy | Sensitivity | Specificity | ||
Abbas, Abdelsamea & Gaber (2020) | Shallow (KNN) | 93.42 | 89.71 | 95.7 |
Deep learning (CNN) | 94.59 | 91.64 | 93.08 | |
Apostolopoulos & Mpesiana (2020) | Deep learning (CNN) | 98.75 | 92.85 | 98.75 |
Luz et al. (2020) | Deep learning (CNN) | 75.3 | 77.4 | 50.0 |
Proposed framework | Shallow (KNN) | 96.93 | 57.14 | 99.2 |
Deep learning (CNN) | 99.04 | 85.71 | 99.6 |