Semisupervised representative learning for measuring epidermal thickness in human subjects in optical coherence tomography by leveraging datasets from rodent models-Reference-Cited by-同舟云学术

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

Published:2022-08-19 Issue:08 Volume:27 Page:
ISSN:1083-3668
Container-title:Journal of Biomedical Optics
language:
Short-container-title:J. Biomed. Opt.

Author:

Ji Yubo¹,Yang Shufan²,Zhou Kanheng¹,Lu Jie³,Wang Ruikang³,Rocliffe Holly R.⁴,Pellicoro Antonella⁴,Cash Jenna L.⁴,Li Chunhui¹,Huang Zhihong¹

Affiliation:

1. University of Dundee, School of Science and Engineering, Dundee, United Kingdom

2. Edinburgh Napier University, School of Computing, Edinburgh, United Kingdom

3. University of Washington, Department of Bioengineering, Seattle, Washington, United States

4. The University of Edinburgh, The Queen’s Medical Research Institute, MRC Centre for Inflammation Research, Edinburgh, United Kingdom

Publisher

SPIE-Intl Soc Optical Eng

Subject

Biomedical Engineering,Atomic and Molecular Physics, and Optics,Biomaterials,Electronic, Optical and Magnetic Materials

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4. Psoriasis skin biopsy image segmentation using Deep Convolutional Neural Network

5. Segmentation of epidermal tissue with histopathological damage in images of haematoxylin and eosin stained human skin

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