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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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Principais autores: Andreas Ekholm, Yinxi Wang, Johan Vallon-Christersson, Constance Boissin, Mattias Rantalainen
Format: Artigo
Sprog:Inglês
Udgivet: BMC 2024-12-01
Serier:BMC Cancer
Fag:
Artificial intelligence
Computational pathology
Proliferation
Gene expression
Breast cancer
Online adgang:https://doi.org/10.1186/s12885-024-13248-9
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