Table 3.
Comparison of discriminant performance between 3D-ResNet and 3 radiologists in the test set
| Performance | 3D-ResNet | Reader1-10y | Reader2-5y | Reader3-3y |
|---|---|---|---|---|
| AUC | 0.86 | 0.69 | 0.65 | 0.63 |
| Accuracy | 0.83 | 0.80 | 0.77 | 0.75 |
| Specificity | 0.57 | 0.46 | 0.39 | 0.39 |
| Sensitivity | 0.92 | 0.92 | 0.91 | 0.87 |
| NTM-LD_Precision | 0.73 | 0.68 | 0.61 | 0.52 |
| NTM-LD_F1 score | 0.64 | 0.55 | 0.48 | 0.45 |
| MTB-LD_Precision | 0.86 | 0.83 | 0.81 | 0.80 |
| MTB-LD_F1 score | 0.89 | 0.87 | 0.86 | 0.83 |
| sec/CT | 0.04 ~ 0.06 | 58 | 62 | 71 |