Table 4.
Model | Accuracy | AUC (TB) | Sensitivity | Specificity | Average precision | Average recall |
---|---|---|---|---|---|---|
ResNet18 | 91.01 | 95.69 | 76.82 | 96.08 | 89.48 | 88.75 |
ResNet50 | 94.85 | 98.76 | 87.02 | 96.99 | 93.67 | 93.6 |
DenseNet121 | 88.04 | 94.82 | 71.41 | 95.89 | 86.85 | 85.13 |
DenseNet201 | 92.64 | 97.23 | 79.91 | 97.18 | 91.63 | 90.6 |
InceptionV3 | 89.58 | 94.95 | 69.4 | 97.51 | 89 | 86.21 |
EfficientNet-B7 | 84.07 | 73.82 | 51.78 | 95.86 | 82.14 | 78.39 |
Proposed model | 96.91 | 99.38 | 91.81 | 98.42 | 96.33 | 96.1 |