Deep learning-enabled breast cancer hormonal receptor status determination from base-level H&E stains

Determination of estrogen receptor status (ERS) in breast cancer tissue requires immunohistochemistry, which is sensitive to the vagaries of sample processing and the subjectivity of pathologists. Here the authors present a deep learning model that determines ERS from H&E stained tissue, which c...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Nikhil Naik, Ali Madani, Andre Esteva, Nitish Shirish Keskar, Michael F. Press, Daniel Ruderman, David B. Agus, Richard Socher
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2020
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/169f3fde02b44f04a44160ad8fb94419
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:169f3fde02b44f04a44160ad8fb94419
record_format	dspace
spelling	oai:doaj.org-article:169f3fde02b44f04a44160ad8fb944192021-12-02T17:33:13ZDeep learning-enabled breast cancer hormonal receptor status determination from base-level H&E stains10.1038/s41467-020-19334-32041-1723https://doaj.org/article/169f3fde02b44f04a44160ad8fb944192020-11-01T00:00:00Zhttps://doi.org/10.1038/s41467-020-19334-3https://doaj.org/toc/2041-1723Determination of estrogen receptor status (ERS) in breast cancer tissue requires immunohistochemistry, which is sensitive to the vagaries of sample processing and the subjectivity of pathologists. Here the authors present a deep learning model that determines ERS from H&E stained tissue, which could improve oncology decisions in under-resourced settings.Nikhil NaikAli MadaniAndre EstevaNitish Shirish KeskarMichael F. PressDaniel RudermanDavid B. AgusRichard SocherNature PortfolioarticleScienceQENNature Communications, Vol 11, Iss 1, Pp 1-8 (2020)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Nikhil Naik Ali Madani Andre Esteva Nitish Shirish Keskar Michael F. Press Daniel Ruderman David B. Agus Richard Socher Deep learning-enabled breast cancer hormonal receptor status determination from base-level H&E stains
description	Determination of estrogen receptor status (ERS) in breast cancer tissue requires immunohistochemistry, which is sensitive to the vagaries of sample processing and the subjectivity of pathologists. Here the authors present a deep learning model that determines ERS from H&E stained tissue, which could improve oncology decisions in under-resourced settings.
format	article
author	Nikhil Naik Ali Madani Andre Esteva Nitish Shirish Keskar Michael F. Press Daniel Ruderman David B. Agus Richard Socher
author_facet	Nikhil Naik Ali Madani Andre Esteva Nitish Shirish Keskar Michael F. Press Daniel Ruderman David B. Agus Richard Socher
author_sort	Nikhil Naik
title	Deep learning-enabled breast cancer hormonal receptor status determination from base-level H&E stains
title_short	Deep learning-enabled breast cancer hormonal receptor status determination from base-level H&E stains
title_full	Deep learning-enabled breast cancer hormonal receptor status determination from base-level H&E stains
title_fullStr	Deep learning-enabled breast cancer hormonal receptor status determination from base-level H&E stains
title_full_unstemmed	Deep learning-enabled breast cancer hormonal receptor status determination from base-level H&E stains
title_sort	deep learning-enabled breast cancer hormonal receptor status determination from base-level h&e stains
publisher	Nature Portfolio
publishDate	2020
url	https://doaj.org/article/169f3fde02b44f04a44160ad8fb94419
work_keys_str_mv	AT nikhilnaik deeplearningenabledbreastcancerhormonalreceptorstatusdeterminationfrombaselevelhestains AT alimadani deeplearningenabledbreastcancerhormonalreceptorstatusdeterminationfrombaselevelhestains AT andreesteva deeplearningenabledbreastcancerhormonalreceptorstatusdeterminationfrombaselevelhestains AT nitishshirishkeskar deeplearningenabledbreastcancerhormonalreceptorstatusdeterminationfrombaselevelhestains AT michaelfpress deeplearningenabledbreastcancerhormonalreceptorstatusdeterminationfrombaselevelhestains AT danielruderman deeplearningenabledbreastcancerhormonalreceptorstatusdeterminationfrombaselevelhestains AT davidbagus deeplearningenabledbreastcancerhormonalreceptorstatusdeterminationfrombaselevelhestains AT richardsocher deeplearningenabledbreastcancerhormonalreceptorstatusdeterminationfrombaselevelhestains
_version_	1718379985666834432

Deep learning-enabled breast cancer hormonal receptor status determination from base-level H&E stains

Ejemplares similares