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

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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Bibliographic Details
Main Authors: Masoud Tafavvoghi, Anders Sildnes, Mehrdad Rakaee, Nikita Shvetsov, Lars Ailo Bongo, Lill-Tove Rasmussen Busund, Kajsa Møllersen
Format: Article
Language:English
Published: Elsevier 2025-01-01
Series:Journal of Pathology Informatics
Subjects:
Breast cancer
Classification
Deep learning
Molecular subtypes
Whole-slide images
Online Access:http://www.sciencedirect.com/science/article/pii/S215335392400049X

Internet

http://www.sciencedirect.com/science/article/pii/S215335392400049X

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