Quantitative diagnosis of breast tumors by morphometric classification of microenvironmental myoepithelial cells using a machine learning approach

Machine learning systems have recently received increased attention for their broad applications in several fields. In this study, we show for the first time that histological types of breast tumors can be classified using subtle morphological differences of microenvironmental myoepithelial cell nuc...

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Detalles Bibliográficos
Autores principales: Yamamoto, Yoichiro, Saito, Akira, Tateishi, Ayako, Shimojo, Hisashi, Kanno, Hiroyuki, Tsuchiya, Shinichi, Ito, Ken-ichi, Cosatto, Eric, Graf, Hans Peter, Moraleda, Rodrigo R., Eils, Roland, Grabe, Niels
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2017
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5404264/
https://www.ncbi.nlm.nih.gov/pubmed/28440283
http://dx.doi.org/10.1038/srep46732

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5404264/
https://www.ncbi.nlm.nih.gov/pubmed/28440283
http://dx.doi.org/10.1038/srep46732

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