TABLE 1.
The 5‐fold cross‐validation results of the accuracy, sensitivity, and specificity of ResNet50 in the training phase.
| Fold | Accuracy | Sensitivity | Specificity | Precision | Recall | F‐measure | AUC |
|---|---|---|---|---|---|---|---|
| 1 | 0.89 | 0.87 | 0.90 | 0.68 | 0.87 | 0.76 | 1.00 |
| 2 | 0.85 | 0.80 | 0.86 | 0.59 | 0.80 | 0.68 | 0.96 |
| 3 | 0.87 | 0.80 | 0.89 | 0.65 | 0.80 | 0.72 | 0.97 |
| 4 | 0.89 | 0.87 | 0.89 | 0.67 | 0.87 | 0.75 | 1.00 |
| 5 | 0.85 | 0.70 | 0.89 | 0.62 | 0.70 | 0.66 | 0.99 |
| Average | 0.87 | 0.81 | 0.89 | 0.64 | 0.81 | 0.71 | 0.98 |
| SD | 0.02 | 0.07 | 0.02 | 0.04 | 0.07 | 0.04 | 0.02 |
Abbreviation: AUC, area under ROC curve.