Correlating nuclear morphometric patterns with estrogen receptor status in breast cancer pathologic specimens

In this pilot study, we introduce a machine learning framework to identify relationships between cancer tissue morphology and hormone receptor pathway activation in breast cancer pathology hematoxylin and eosin (H&E)-stained samples. As a proof-of-concept, we focus on predicting clinical estroge...

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Detalles Bibliográficos
Autores principales: Rawat, Rishi R., Ruderman, Daniel, Macklin, Paul, Rimm, David L., Agus, David B.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6123433/
https://www.ncbi.nlm.nih.gov/pubmed/30211313
http://dx.doi.org/10.1038/s41523-018-0084-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6123433/
https://www.ncbi.nlm.nih.gov/pubmed/30211313
http://dx.doi.org/10.1038/s41523-018-0084-4

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