Table 8 The evaluation result of SC grading with the MBCNN model
From: Semantic characteristic grading of pulmonary nodules based on deep neural networks
| Â | Subtlety | Calcification | Sphericity | Margin | Lobulation | Spiculation |
|---|---|---|---|---|---|---|
ACC | 0.9800 | 0.9925 | 0.9825 | 0.6625 | 0.7649 | 0.9800 |
SEN | 0.9783 | 9903 | 0.9807 | 0.6538 | 0.7548 | 0.9783 |
DSC | 0.9821 | 9872 | 0.9807 | 0.6554 | 0.7465 | 0.9783 |
AUC | 0.9968 | 9947 | 0.9825 | 0.7379 | 0.8244 | 0.9824 |