Table 3 Diagnostic performance of the VGGNet-16 model and gynecologists in the two-category classification task
From: Deep learning model for classifying endometrial lesions
Classifier | Sensitivity (%) | Specificity (%) | Precision (%) | F1-score (%) | AUC | Accuracy (%) |
|---|---|---|---|---|---|---|
VGGNet-16 | 83.0 | 96.0 | 93.3 | 87.8 | 0.944 | 90.8 |
Gynecologist 1 | 84.0 | 88.7 | 83.2 | 83.6 | 0.863 | 86.8 |
Gynecologist 2 | 76.0 | 86.7 | 79.2 | 77.6 | 0.813 | 82.4 |
Gynecologist 3 | 81.0 | 87.3 | 81.0 | 81.0 | 0.842 | 84.8 |