Semisupervised representative learning for measuring epidermal thickness in human subjects in optical coherence tomography by leveraging datasets from rodent models

Ji, Y., Yang, S. orcid.org/0000-0003-0531-2903, Zhou, K. et al. (7 more authors) (2022) Semisupervised representative learning for measuring epidermal thickness in human subjects in optical coherence tomography by leveraging datasets from rodent models. Journal of Biomedical Optics, 27 (8). 085002. ISSN 1083-3668

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Item Type: Article
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© The Authors. Published by SPIE under a Creative Commons Attribution 4.0 International License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI. [DOI: 10.1117/1.JBO.27.8.085002]

Keywords: optical coherence tomography; semisupervised learning; acute burning wound; re-epithelialization; epidermis; scab
Dates:
  • Published: 19 August 2022
  • Published (online): 19 August 2022
  • Accepted: 31 May 2022
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Mechanical Engineering (Leeds) > Institute of Medical and Biological Engineering (iMBE) (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 14 Aug 2024 13:47
Last Modified: 14 Aug 2024 13:48
Published Version: https://www.spiedigitallibrary.org/journals/journa...
Status: Published
Publisher: Society of Photo-optical Instrumentation Engineers
Identification Number: 10.1117/1.jbo.27.8.085002
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