68MO Generalization of a deep learning model for HER2 status predictions on H&E-stained whole slide images derived from 3 neoadjuvant clinical studies

Abstract

Due to its decisive role to select targeted treatment options in breast cancer, we investigated if machine learning (ML) models could identify HER2-positive tumours from routinely obtained haematoxylin and eosin (H&E)-stained whole slide images.