Three 3D-CNN performance indicators
| Model | Accuracy | Recall | Precision | F1-score |
| Validation set | ||||
| CT 3D-CNN | 0.84 ± 0.03 | 0.90 ± 0.07 | 0.90 ± 0.04 | 0.89 ± 0.02 |
| PET 3D-CNN | 0.92 ± 0.02 | 0.97 ± 0.03 | 0.94 ± 0.04 | 0.95 ± 0.01 |
| PET/CT 3D-CNN | 0.92 ± 0.02 | 0.98 ± 0.01 | 0.94 ± 0.02 | 0.96 ± 0.01 |
| Testing set | ||||
| CT 3D-CNN | 0.72 ± 0.05 | 0.79 ± 0.08 | 0.86 ± 0.04 | 0.82 ± 0.04 |
| PET 3D-CNN | 0.79 ± 0.05 | 0.90 ± 0.05 | 0.85 ± 0.02 | 0.87 ± 0.03 |
| PET/CT 3D-CNN | 0.81 ± 0.03 | 0.92 ± 0.03 | 0.86 ± 0.00 | 0.89 ± 0.02 |