Outcome and biomarker supervised deep learning for survival prediction in two multicenter breast cancer series

BACKGROUND: Prediction of clinical outcomes for individual cancer patients is an important step in the disease diagnosis and subsequently guides the treatment and patient counseling. In this work, we develop and evaluate a joint outcome and biomarker supervised (estrogen receptor expression and ERBB...

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Detalles Bibliográficos
Autores principales: Bychkov, Dmitrii, Joensuu, Heikki, Nordling, Stig, Tiulpin, Aleksei, Kücükel, Hakan, Lundin, Mikael, Sihto, Harri, Isola, Jorma, Lehtimäki, Tiina, Kellokumpu-Lehtinen, Pirkko-Liisa, von Smitten, Karl, Lundin, Johan, Linder, Nina
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Original Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8794033/
https://www.ncbi.nlm.nih.gov/pubmed/35136676
http://dx.doi.org/10.4103/jpi.jpi_29_21

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8794033/
https://www.ncbi.nlm.nih.gov/pubmed/35136676
http://dx.doi.org/10.4103/jpi.jpi_29_21

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