Article

Multiple instance learning on tile level-pathology images provides accurate and interpretable classification for breast cancer molecular subtypes

2025-12-22

Abstract excerpt

Accurate breast cancer molecular subtyping is critical for treatment decisions, yet standard methods such as immunohistochemistry and gene expression profiling are costly and labor intensive. Deep learning classification approaches using Hematoxylin and Eosin-stained whole slide images are an active area of research. However, many existing methods rely on large, high-quality annotated datasets where tumor regions...

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Literature Corpus work: bedec35a-b5fd-5a31-86e0-d72af0872fe0
DOI: 10.64898/2025.12.19.695372

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