Table 4.
Feature Extraction Network | Sensitivity (%) | Specificity (%) | Precision (%) | Accuracy (%) | F1-Score (%) |
---|---|---|---|---|---|
VGG16 | 96.25 | 98.16 | 97.88 | 96.76 | 97.05 |
VGG19 | 98.75 | 95.59 | 95.18 | 97.07 | 96.93 |
Inception_V3 | 99.58 | 97.43 | 97.15 | 98.44 | 98.35 |
ResNet50 | 99.26 | 98.75 | 98.90 | 99.02 | 99.08 |
ResNet101 | 99.58 | 98.52 | 98.35 | 98.82 | 98.76 |