Differentiation of breast tissue types for surgical margin assessment using machine learning and polarization-sensitive optical coherence tomography

We report an automated differentiation model for classifying malignant tumor, fibro-adipose, and stroma in human breast tissues based on polarization-sensitive optical coherence tomography (PS-OCT). A total of 720 PS-OCT images from 72 sites of 41 patients with H&E histology-confirmed diagnoses...

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Detalhes bibliográficos
Publicado no:Biomed Opt Express
Main Authors: Zhu, Dan, Wang, Jianfeng, Marjanovic, Marina, Chaney, Eric J., Cradock, Kimberly A., Higham, Anna M., Liu, Zheng G., Gao, Zhishan, Boppart, Stephen A.
Formato: Artigo
Idioma:Inglês
Publicado em: Optical Society of America 2021
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Article
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC8194620/
https://ncbi.nlm.nih.gov/pubmed/34168912
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1364/BOE.423026
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