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

SIGNIFICANCE: Morphological changes in the epidermis layer are critical for the diagnosis and assessment of various skin diseases. Due to its noninvasiveness, optical coherence tomography (OCT) is a good candidate for observing microstructural changes in skin. Convolutional neural network (CNN) has...

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Detalles Bibliográficos
Autores principales: Ji, Yubo, Yang, Shufan, Zhou, Kanheng, Lu, Jie, Wang, Ruikang, Rocliffe, Holly R., Pellicoro, Antonella, Cash, Jenna L., Li, Chunhui, Huang, Zhihong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Society of Photo-Optical Instrumentation Engineers 2022
Materias:
General
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9388694/
https://www.ncbi.nlm.nih.gov/pubmed/35982528
http://dx.doi.org/10.1117/1.JBO.27.8.085002

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9388694/
https://www.ncbi.nlm.nih.gov/pubmed/35982528
http://dx.doi.org/10.1117/1.JBO.27.8.085002

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