Article

Interpretable and Robust Deep Learning for Automated HER2 Assessment in Breast Cancer

2026-03-10

Abstract excerpt

<title>Abstract</title> <p>Accurate determination of human epidermal growth factor receptor 2 (HER2) status is essential for guiding targeted therapy in breast cancer. Yet, manual immunohistochemistry (IHC) scoring remains susceptible to inter-observer variability, particularly in borderline cases. Although deep learning–based methods have shown promise for automated HER2 assessment, their clinical adoption is hi...

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Literature Corpus work: 0ea09c7c-0cf5-5671-83b0-38d1dd50cd42
DOI: 10.21203/rs.3.rs-8867647/v1

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