Table 7.
Comparison of Classification Results With Pre-Trained Models.
Model | ACC | PRE | REC | SPE | F1 | AUC |
---|---|---|---|---|---|---|
ResNet50 | 86.00 | 86.66 | 82.85 | 83.33 | 89.23 | 0.83 |
VGG19 | 86.00 | 83.33 | 89.25 | 80.90 | 86.55 | 0.87 |
DenseNet201 | 86.00 | 86.66 | 86.66 | 85.00 | 85.66 | 0.86 |
InceptionV3 | 88.00 | 90.00 | 86.77 | 89.00 | 88.36 | 0.88 |
MobileNet | 86.00 | 83.33 | 86.70 | 80.90 | 86.55 | 0.87 |
InceptionResNetV2 | 84.00 | 83.33 | 86.55 | 80.47 | 84.91 | 0.84 |
Proposed model | 97.86 | 98.12 | 98.79 | 94.65 | 98.45 | 0.99 |