Fracture detection of distal radius using deep- learning-based dual-channel feature fusion algorithm
This study found that combining anteroposterior and lateral X-ray images of the distal radius as input for deep-learning algorithms can more accurately and efficiently identify distal radius fractures, providing a reference for research on distal radius fractures.
Authors
- Xiao‐Wei Yu (ORCID: https://orcid.org/0000-0001-7967-6051)
- Haiting Shan (ORCID: https://orcid.org/0009-0007-2691-8505)
- Jin Li (ORCID: https://orcid.org/0000-0003-2438-3790)
Institutions
- Shanghai Sixth People's Hospital (CN)
Publication Details
- Journal
- Chinese Journal of Traumatology
- Published
- 2025-03-01
- DOI
- https://doi.org/10.1016/j.cjtee.2024.10.006
- Citations
- 4
- Primary Topic
- Medical Imaging and Analysis
- Type
- article
- Field-Weighted Citation Impact
- 2.70