Table 3.
Malignancy prediction metrics.
| Training | |||||
| Network | AUC | Accuracy | Sensitivity | Specificity | F1 |
| Mesh Only | 0.885 | 80.25 | 54.84 | 93.04 | 65.03 |
| Mesh+Encoder | 0.899 | 80.71 | 55.76 | 93.27 | 65.94 |
| Validation | |||||
| Network | AUC | Accuracy | Sensitivity | Specificity | F1 |
| Mesh Only | 0.881 | 80.37 | 53.06 | 92.11 | 61.90 |
| Mesh+Encoder | 0.808 | 75.46 | 42.86 | 89.47 | 51.22 |
| Testing LIDC-PM N=72 | |||||
| Network | AUC | Accuracy | Sensitivity | Specificity | F1 |
| Mesh Only | 0.790 | 70.83 | 56.10 | 90.32 | 68.66 |
| Mesh+Encoder | 0.813 | 79.17 | 70.73 | 90.32 | 79.45 |
| Testing LUNGx N=73 | |||||
| Network | AUC | Accuracy | Sensitivity | Specificity | F1 |
| Mesh Only | 0.733 | 68.49 | 80.56 | 56.76 | 71.60 |
| Mesh+Encoder | 0.743 | 65.75 | 86.11 | 45.95 | 71.26 |