Table 5 Best pre-trained classifier with proposed network.
Techniques | Accuracy | Sensitivity | Specificity | F1 score |
---|---|---|---|---|
VGG 16 | 90.24 | 87.36 | 89.28 | 85.71 |
VGG 19 | 91.20 | 91.20 | 88.32 | 86.63 |
Google Net | 91.20 | 88.32 | 89.28 | 87.55 |
ResNet 50 | 90.24 | 91.20 | 89.28 | 86.63 |
ResNet 18 | 89.28 | 87.36 | 90.24 | 90.24 |
Inception V2 | 89.28 | 91.20 | 87.36 | 91.20 |
BiLSTM CNN | 95.91 | 96.82 | 94.55 | 93.34 |