Table 4.
Classifier | Deep learning | Hybrid deep and machine learning techniques | ||
---|---|---|---|---|
AlexNet | ResNet-18 | AlexNet+SVM | ResNet-18+SVM | |
Accuracy (%) | 93.3 | 93.8 | 95.1 | 91.2 |
Sensitivity (%) | 93 | 93.75 | 95.25 | 91.5 |
Specificity (%) | 97.5 | 97.5 | 98.5 | 97 |
Classifier | Deep learning | Hybrid deep and machine learning techniques | ||
---|---|---|---|---|
AlexNet | ResNet-18 | AlexNet+SVM | ResNet-18+SVM | |
Accuracy (%) | 93.3 | 93.8 | 95.1 | 91.2 |
Sensitivity (%) | 93 | 93.75 | 95.25 | 91.5 |
Specificity (%) | 97.5 | 97.5 | 98.5 | 97 |