Automated elbow ultrasound image recognition: a two-stage deep learning system via Swin Transformer
We have introduced an elbow ultrasound image recognition system leveraging the Swin Transformer, achieving competitive outcomes in both categorization and standard verification. This approach significantly reduces diagnostic time, allowing radiologists to focus more on scientific validation rather than image analysis.
Authors
- Qiu Li (ORCID: https://orcid.org/0000-0002-5299-9050)
- Chengting Zhou
- Lirong Hu (ORCID: https://orcid.org/0000-0002-9174-0623)
- Weichen Zhou (ORCID: https://orcid.org/0009-0005-9288-0379)
Institutions
- Sichuan University (CN)
- West China Hospital of Sichuan University (CN)
Publication Details
- Journal
- Quantitative Imaging in Medicine and Surgery
- Published
- 2024-12-24
- DOI
- https://doi.org/10.21037/qims-24-763
- Primary Topic
- Shoulder Injury and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 0.00