Deep learning-based classification of breast cancer molecular subtypes from H&E whole-slide images

Classifying breast cancer molecular subtypes is crucial for tailoring treatment strategies. While immunohistochemistry (IHC) and gene expression profiling are standard methods for molecular subtyping, IHC can be subjective, and gene profiling is costly and not widely accessible in many regions. Prev...

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Detalhes bibliográficos

Principais autores:	Masoud Tafavvoghi, Anders Sildnes, Mehrdad Rakaee, Nikita Shvetsov, Lars Ailo Bongo, Lill-Tove Rasmussen Busund, Kajsa Møllersen
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Elsevier 2025-01-01
coleção:	Journal of Pathology Informatics
Assuntos:	Breast cancer Classification Deep learning Molecular subtypes Whole-slide images
Acesso em linha:	http://www.sciencedirect.com/science/article/pii/S215335392400049X
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