Automatic segmentation of lower limb muscles from MR images of post-menopausal women based on deep learning and data augmentation

Henson, W.H., Li, X. orcid.org/0000-0003-2012-5831, Lin, Z. et al. (3 more authors) (2024) Automatic segmentation of lower limb muscles from MR images of post-menopausal women based on deep learning and data augmentation. PLOS ONE, 19 (4). e0299099. ISSN 1932-6203

Abstract

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Item Type: Article
Authors/Creators:
Copyright, Publisher and Additional Information: © 2024 Henson et al. This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Keywords: Magnetic resonance imaging; Body limbs; Muscle analysis; Muscle tissue; Imaging techniques; Data acquisition; Pulmonary imaging; Retraining
Dates:
  • Submitted: 27 July 2023
  • Accepted: 5 February 2024
  • Published (online): 2 April 2024
  • Published: 2 April 2024
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Automatic Control and Systems Engineering (Sheffield)
Depositing User: Symplectic Sheffield
Date Deposited: 03 Apr 2024 12:05
Last Modified: 03 Apr 2024 12:05
Status: Published
Publisher: Public Library of Science (PLoS)
Refereed: Yes
Identification Number: https://doi.org/10.1371/journal.pone.0299099
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