Machine learning-driven Heckmatt grading in facioscapulohumeral muscular dystrophy: A novel pathway for musculoskeletal ultrasound analysis
Automating the visual assessment of muscle ultrasound images improves the objectivity and efficiency of muscle ultrasound, supporting clinical decision-making.
Authors
- Kristen M. Meiburger (ORCID: https://orcid.org/0000-0002-7302-6135)
- Francesco Marzola (ORCID: https://orcid.org/0000-0002-9675-3220)
- Jonne Doorduin (ORCID: https://orcid.org/0000-0002-4157-1649)
- Nens van Alfen (ORCID: https://orcid.org/0000-0001-7839-8125)
Institutions
- Radboud University Nijmegen (NL)
- Politecnico di Torino (IT)
- Radboud University Medical Center (NL)
- Radboud Institute for Molecular Life Sciences (NL)
Publication Details
- Journal
- Clinical Neurophysiology
- Published
- 2025-02-06
- DOI
- https://doi.org/10.1016/j.clinph.2025.01.016
- Citations
- 6
- Primary Topic
- Infrared Thermography in Medicine
- Type
- article
- Field-Weighted Citation Impact
- 8.16