Research Article
A Simple Method to Train the AI Diagnosis Model of Pulmonary Nodules
Table 3
AUC and ROC curve best cutoff of the trained model and the doctors.
| | AUC | Optimal cutoff | Sensitivity (%) | Specificity (%) | (compared to the trained model) |
| Trained model (data augmentation) | 0.896 | 0.791 | 88.2 | 90.9 | | Doctor A | 0.759 | 0.519 | 88.2 | 63.6 | 0.1212 | Doctor B | 0.775 | 0.549 | 88.2 | 66.7 | 0.1673 | Doctor C | 0.745 | 0.490 | 82.4 | 66.7 | 0.0963 |
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