Table 4.
Method | Accuracy | Sensitivity | Specificity | Recall | Precision | F1 score |
---|---|---|---|---|---|---|
ResNet50 | 91.60 | 96.67 | 89.07 | 81.56 | 96.67 | 88.47 |
GoogleNet | 89.88 | 93.33 | 88.15 | 79.75 | 93.33 | 86.01 |
InceptionNet | 92.59 | 96.67 | 90.56 | 83.56 | 96.67 | 89.69 |
SqueezeNet | 91.48 | 97.78 | 88.33 | 80.73 | 97.78 | 88.44 |
AlexNet | 90.74 | 97.41 | 87.41 | 79.46 | 97.41 | 87.52 |
Proposed algorithm | 94.07 | 98.15 | 91.48 | 85.21 | 98.15 | 91.22 |