Detection and classification of supraspinatus pathologies on shoulder magnetic resonance images using a code-free deep learning application
The results of the study suggest that, although CFDL applications may be promising for the initial detection of supraspinatus pathologies, their current iteration has limitations that must be resolved before they can be reliably integrated into clinical practice.
Authors
- Atilla Hikmet Çilengir (ORCID: https://orcid.org/0000-0002-4073-9665)
- Ceren Durmaz Engin (ORCID: https://orcid.org/0000-0001-5797-6467)
- Berna Dirim Mete (ORCID: https://orcid.org/0000-0002-2380-4197)
- Onur Engin (ORCID: https://orcid.org/0000-0001-7490-9418)
Institutions
- Izmir University (TR)
- Dokuz Eylül University (TR)
- İzmir Demokrasi Üniversitesi
Publication Details
- Journal
- Asia-Pacific Journal of Sports Medicine Arthroscopy Rehabilitation and Technology
- Published
- 2025-05-05
- DOI
- https://doi.org/10.1016/j.asmart.2025.04.005
- Citations
- 1
- Primary Topic
- Shoulder Injury and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 2.01