Estimation of absolute states of human skeletal muscle via standard B-mode ultrasound imaging and deep convolutional neural networks
- Submitting institution
-
Manchester Metropolitan University
- Unit of assessment
- 24 - Sport and Exercise Sciences, Leisure and Tourism
- Output identifier
- 2540
- Type
- D - Journal article
- DOI
-
10.1098/rsif.2019.0715
- Title of journal
- Journal of The Royal Society Interface
- Article number
- 20190715
- First page
- -
- Volume
- 17
- Issue
- 162
- ISSN
- 1742-5689
- Open access status
- Compliant
- Month of publication
- January
- Year of publication
- 2020
- URL
-
https://e-space.mmu.ac.uk/624891/
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
2
- Research group(s)
-
B - Musculoskeletal Function in Health and Ageing
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- -
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -