Article

Predicting molecular subtypes of breast cancer using pathological images by deep convolutional neural network from public dataset

2020-02-13

Abstract excerpt

Breast cancer is a heterogeneously complex disease. A number of molecular subtypes with distinct biological features lead to different treatment responses and clinical outcomes. Traditionally, breast cancer is classified into subtypes based on gene expression profiles; these subtypes include luminal A, luminal B, basal like, HER2-enriched, and normal-like breast cancer. This molecular taxonomy, however, could only...

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Literature Corpus work: adaa137b-8025-5304-86d9-2fe9f48263db
DOI: 10.1101/2020.02.12.946723

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