Article

Corr-A-Net: Interpretable Attention-Based Correlated Feature Learning framework for predicting of HER2 Score in Breast Cancer from H&E Images

2025-04-25

Abstract excerpt

<h4>SUMMARY</h4> Human epidermal growth factor receptor 2 (HER2) expression is a critical biomarker for assessing breast cancer (BC) severity and guiding targeted anti-HER2 therapies. The standard method for measuring HER2 expression is manual assessment of IHC slides by pathologists, which is both time intensive and prone to inter- and intra-observer variability. To address these challenges, we developed an inter...

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Literature Corpus work: d963f607-490a-57e8-b06a-0328d44975ac
DOI: 10.1101/2025.04.22.25326227

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