Identification of TFCC substructure injury in wrist MRI using computer vision: a diagnostic aid for radiologists
The YOLO11l model represents a promising approach to aiding the assessment of TFCC injuries. Compared with less experienced radiology residents, this model can provide reliable and reproducible diagnostic support.
Authors
- Ruimin Guo
- Xiaoming Li (ORCID: https://orcid.org/0000-0002-0545-6782)
- Yitong Li (ORCID: https://orcid.org/0000-0002-8327-3738)
- Yu Chu (ORCID: https://orcid.org/0000-0003-0930-4628)
- Gang Wu (ORCID: https://orcid.org/0000-0001-6558-3508)
- Hongwei Ren
- Xiaolong Luo
Institutions
- Tongji Hospital (CN)
- Union Hospital (CN)
- Wuhan University of Science and Technology (CN)
- Huazhong University of Science and Technology (CN)
Publication Details
- Journal
- Skeletal Radiology
- Published
- 2025-12-19
- DOI
- https://doi.org/10.1007/s00256-025-05106-x
- Primary Topic
- Advanced X-ray and CT Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China