This code project is for the paper Convolutional Neural Network-based Diagnostic Model for Solid, Indeterminate Solitary Pulmonary Nodule or Mass on Computed Tomography
The best model weights parameters are stored in the google drive.
- Ke Sun1, email: [email protected]
- Shouyu Chen 2, email: [email protected]
- Bin Wang1
- Tingting Wang1
- Yang Yang1
- Yin Wang2, email: [email protected]
- Chunyan Wu3*
- Xiwen Sun1*, email: [email protected]
- Department of Radiology, Shanghai Pulmonary Hospital, Tongji University School of Medicine, 507 Zheng Min Road, Shanghai 200433, China.
- Department of Computer Science and Technology, College of Electronics and Information Engineering, Tongji University, 4800 Cao'an Road, Shanghai, 201804, China.
- Department of Pathology, Shanghai Pulmonary Hospital, Tongji University School of Medicine, 507 Zheng Min Road, Shanghai 200433, China.
| Training Set | Validation Set | Test Set | |
|---|---|---|---|
| Accuracy | 86.56% | 80.43% | 82.98% |
| AUC | 94.66% | 88.49% | 91.17% |
| Recall | 90.67% | 82.14% | 85.71% |
| Precision | 87.50% | 85.19% | 85.71% |
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