Quantitative scoring of epithelial and mesenchymal qualities of cancer cells using machine learning and quantitative phase imaging

Significance: We introduce an application of machine learning trained on optical phase features of epithelial and mesenchymal cells to grade cancer cells’ morphologies, relevant to evaluation of cancer phenotype in screening assays and clinical biopsies. Aim: Our objective was to determine quantitat...

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Detalles Bibliográficos
Autores principales: Lam, Van K., Nguyen, Thanh, Bui, Vy, Chung, Byung Min, Chang, Lin-Ching, Nehmetallah, George, Raub, Christopher B.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Society of Photo-Optical Instrumentation Engineers 2020
Materias:
Imaging
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7026523/
https://www.ncbi.nlm.nih.gov/pubmed/32072775
http://dx.doi.org/10.1117/1.JBO.25.2.026002

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7026523/
https://www.ncbi.nlm.nih.gov/pubmed/32072775
http://dx.doi.org/10.1117/1.JBO.25.2.026002

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