Deep learning identifies morphological features in breast cancer predictive of cancer ERBB2 status and trastuzumab treatment efficacy

The treatment of patients with ERBB2 (HER2)-positive breast cancer with anti-ERBB2 therapy is based on the detection of ERBB2 gene amplification or protein overexpression. Machine learning (ML) algorithms can predict the amplification of ERBB2 based on tumor morphological features, but it is not kno...

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Detalles Bibliográficos
Autores principales: Bychkov, Dmitrii, Linder, Nina, Tiulpin, Aleksei, Kücükel, Hakan, Lundin, Mikael, Nordling, Stig, Sihto, Harri, Isola, Jorma, Lehtimäki, Tiina, Kellokumpu-Lehtinen, Pirkko-Liisa, von Smitten, Karl, Joensuu, Heikki, Lundin, Johan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7890057/
https://www.ncbi.nlm.nih.gov/pubmed/33597560
http://dx.doi.org/10.1038/s41598-021-83102-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7890057/
https://www.ncbi.nlm.nih.gov/pubmed/33597560
http://dx.doi.org/10.1038/s41598-021-83102-6

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