Automated Segmentation of Median Nerve Cross‐Sectional Area in Healthy Controls and Patients With Carpal Tunnel Syndrome Using a Convolutional Neural Network
In line with current literature, a CNN with a 2D U-Net architecture demonstrates strong potential for MN segmentation on static ultrasound images. However, reduced accuracy on unseen data suggests overfitting. Further validation is required to ensure robustness across anatomical and technical variation before clinical implementation.
Authors
- Erik Willemen (ORCID: https://orcid.org/0000-0003-2643-2859)
- Ronald Bartels (ORCID: https://orcid.org/0000-0002-8638-4660)
- Verhagen Wi
- Tom B. G. Olde Dubbelink
- Bas Schippers
- Frouke A. P. Nijhuis
- Jan Meulstee
Institutions
- National Society of Professional Engineers (US)
- Radboud University Nijmegen (NL)
- Radboud University Medical Center (NL)
- Canisius-Wilhelmina Ziekenhuis (NL)
- Rijnstate Hospital (NL)
Publication Details
- Journal
- Muscle & Nerve
- Published
- 2026-02-14
- DOI
- https://doi.org/10.1002/mus.70167
- Primary Topic
- Peripheral Nerve Disorders
- Type
- article
- Field-Weighted Citation Impact
- 0.00