Table 3.
Evaluation performances of deep learning models and the proposed model.
Models | PR (%) | RE (%) | SE (%) | SP (%) | AC (%) | F1-Score (%) |
---|---|---|---|---|---|---|
Xception | 95.7 | 95.9 | 95.9 | 95.4 | 95.6 | 95.8 |
InceptionResNetV2 | 96.2 | 96.6 | 96.6 | 96.1 | 96.3 | 96.4 |
ResNet50 | 96.6 | 96.8 | 96.8 | 96.2 | 96.5 | 96.7 |
InceptionV3 | 96.7 | 97.1 | 97.1 | 96.3 | 96.4 | 96.9 |
VGG16 | 97.4 | 97.7 | 97.7 | 97.3 | 97.6 | 97.5 |
EfficientNet | 97.7 | 97.9 | 98.0 | 97.5 | 97.8 | 97.8 |
The proposed model | 99.5 | 99.3 | 99.3 | 99.4 | 99.5 | 99.4 |