One-class machine learning classification of skin tissue based on manually scanned optical coherence tomography imaging

We investigated a method for automatic skin tissue characterization based on optical coherence tomography (OCT) imaging. We developed a manually scanned single fiber OCT instrument to perform in vivo skin imaging and tumor boundary assessment. The goal is to achieve more accurate tissue excision in...

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Detalles Bibliográficos
Autores principales: Liu, Xuan, Ouellette, Samantha, Jamgochian, Marielle, Liu, Yuwei, Rao, Babar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9845382/
https://www.ncbi.nlm.nih.gov/pubmed/36650283
http://dx.doi.org/10.1038/s41598-023-28155-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9845382/
https://www.ncbi.nlm.nih.gov/pubmed/36650283
http://dx.doi.org/10.1038/s41598-023-28155-5

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