Prediction of gene expression-based breast cancer proliferation scores from histopathology whole slide images using deep learning

Prediction of gene expression-based breast cancer proliferation scores from histopathology whole slide images using deep learning

Abstract Background In breast cancer, several gene expression assays have been developed to provide a more personalised treatment. This study focuses on the prediction of two molecular proliferation signatures: an 11-gene proliferation score and the MKI67 proliferation marker gene. The aim was to as...

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Bibliographic Details
Main Authors: Andreas Ekholm, Yinxi Wang, Johan Vallon-Christersson, Constance Boissin, Mattias Rantalainen
Format: Article
Language:English
Published: BMC 2024-12-01
Series:BMC Cancer
Subjects:
Artificial intelligence
Computational pathology
Proliferation
Gene expression
Breast cancer
Online Access:https://doi.org/10.1186/s12885-024-13248-9
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https://doi.org/10.1186/s12885-024-13248-9

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