Automatic assessment of lower limb deformities using high-resolution X-ray images
Results from multiple case studies involving high-resolution images show that the proposed approach outperforms previous deep learning-based approaches in terms of accuracy and computational cost. It also enables the automatic detection of the lower limb misalignments in full-leg x-ray images.
Authors
- Reyhaneh Rostamian (ORCID: https://orcid.org/0009-0005-2881-4596)
- Alireza Almasi (ORCID: https://orcid.org/0000-0002-0981-7784)
- Hadi Ghattan Kashani
- Morad Karimpour (ORCID: https://orcid.org/0000-0001-9638-7745)
- Masoud Shariat Panahi (ORCID: https://orcid.org/0009-0005-6195-1015)
- Ramin Jafarzadeh Khaledi
Institutions
- Iran University of Medical Sciences (IR)
- University of Tehran (IR)
- Omid Fertility Clinic (IR)
Publication Details
- Journal
- BMC Musculoskeletal Disorders
- Published
- 2025-05-27
- DOI
- https://doi.org/10.1186/s12891-025-08784-9
- Citations
- 1
- Primary Topic
- Medical Imaging and Analysis
- Type
- article
- Field-Weighted Citation Impact
- 0.67