Predicting estrogen receptor status from HE-stained breast cancer slides using artificial intelligence

Predicting estrogen receptor status from HE-stained breast cancer slides using artificial intelligence

IntroductionThe estrogen receptor (ER) is routinely assessed by immunohistochemistry (IHC) in breast cancer to stratify patients into therapeutic and prognostic groups. Pathology laboratories are burdened by an increased number of biopsies, and costly and resource-demanding molecular pathology analy...

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Bibliographic Details
Main Authors: Maren Høibø, Ute Spiske, André Pedersen, Borgny Ytterhus, Lars A. Akslen, Elisabeth Wik, Cecilie Askeland, Ingerid Reinertsen, Erik Smistad, Marit Valla
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-06-01
Series:Frontiers in Medicine
Subjects:
deep learning
digital pathology
breast cancer
estrogen receptor
hematoxylin and eosin
multiple instance learning
Online Access:https://www.frontiersin.org/articles/10.3389/fmed.2025.1593143/full
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https://www.frontiersin.org/articles/10.3389/fmed.2025.1593143/full

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