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...
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2020-11-01
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Series: | Nature Communications |
Online Access: | https://doi.org/10.1038/s41467-020-19334-3 |
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doaj-169f3fde02b44f04a44160ad8fb944192021-05-11T08:37:56ZengNature Publishing GroupNature Communications2041-17232020-11-011111810.1038/s41467-020-19334-3Deep learning-enabled breast cancer hormonal receptor status determination from base-level H&E stainsNikhil Naik0Ali Madani1Andre Esteva2Nitish Shirish Keskar3Michael F. Press4Daniel Ruderman5David B. Agus6Richard Socher7Salesforce ResearchSalesforce ResearchSalesforce ResearchSalesforce ResearchDepartment of Pathology, Keck School of Medicine, University of Southern CaliforniaLawrence J. Ellison Institute for Transformative Medicine, University of Southern CaliforniaLawrence J. Ellison Institute for Transformative Medicine, University of Southern CaliforniaSalesforce ResearchDetermination 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.https://doi.org/10.1038/s41467-020-19334-3 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Nikhil Naik Ali Madani Andre Esteva Nitish Shirish Keskar Michael F. Press Daniel Ruderman David B. Agus Richard Socher |
spellingShingle |
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 Nature Communications |
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 Publishing Group |
series |
Nature Communications |
issn |
2041-1723 |
publishDate |
2020-11-01 |
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. |
url |
https://doi.org/10.1038/s41467-020-19334-3 |
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AT nikhilnaik deeplearningenabledbreastcancerhormonalreceptorstatusdeterminationfrombaselevelhestains AT alimadani deeplearningenabledbreastcancerhormonalreceptorstatusdeterminationfrombaselevelhestains AT andreesteva deeplearningenabledbreastcancerhormonalreceptorstatusdeterminationfrombaselevelhestains AT nitishshirishkeskar deeplearningenabledbreastcancerhormonalreceptorstatusdeterminationfrombaselevelhestains AT michaelfpress deeplearningenabledbreastcancerhormonalreceptorstatusdeterminationfrombaselevelhestains AT danielruderman deeplearningenabledbreastcancerhormonalreceptorstatusdeterminationfrombaselevelhestains AT davidbagus deeplearningenabledbreastcancerhormonalreceptorstatusdeterminationfrombaselevelhestains AT richardsocher deeplearningenabledbreastcancerhormonalreceptorstatusdeterminationfrombaselevelhestains |
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