From: Preoperative prediction of lymph node metastasis using deep learning-based features
 | Training (n = 109, 37 positive SLNs) | ||||||
AUC | Sensitivity | Specificity | PPV | NPV | Accuracy | YI | |
CR | 0.95 | 0.86 | 0.93 | 0.93 | 0.86 | 0.89 | 0.79 |
DLB | 0.88 | 0.77 | 0.92 | 0.89 | 0.81 | 0.85 | 0.69 |
 | Validation (n = 54, 18 positive SLNs) | ||||||
AUC | Sensitivity | Specificity | PPV | NPV | Accuracy | YI | |
CR | 0.81 | 0.72 | 0.83 | 0.68 | 0.86 | 0.80 | 0.56 |
DLB | 0.85 | 0.72 | 0.86 | 0.72 | 0.86 | 0.81 | 0.58 |
 | Testing (n = 35, 12 positive SLNs) | ||||||
AUC | Sensitivity | Specificity | PPV | NPV | Accuracy | YI | |
CR | 0.74 | 0.33 | 0.91 | 0.67 | 0.72 | 0.71 | 0.25 |
DLB | 0.85 | 0.83 | 0.70 | 0.59 | 0.89 | 0.74 | 0.53 |