Refining Muscle Morphometry Through Machine Learning and Spatial Analysis
Automated muscle morphometry and spatial analysis provide quantification of muscle morphology and patterns of atrophy, which will facilitate objective and efficient investigation of neuromuscular diseases.
Authors
- Daisuke Ono (ORCID: https://orcid.org/0000-0002-0238-7355)
- Takanori Yokota (ORCID: https://orcid.org/0000-0002-6490-3263)
- Hiroya Kuwahara (ORCID: https://orcid.org/0000-0003-2399-3431)
- Honami Kawai
Institutions
- Jacksonville College (US)
- Mayo Clinic in Florida (US)
Publication Details
- Journal
- Neuropathology and Applied Neurobiology
- Published
- 2025-03-24
- DOI
- https://doi.org/10.1111/nan.70012
- Citations
- 3
- Primary Topic
- Muscle Physiology and Disorders
- Type
- article
- Field-Weighted Citation Impact
- 2.42