ERBB2 and breast carcinoma: Previous studies have demonstrated that machine learning approaches extracting morphological features from H&E stained WSI can predict the expression of several single biomarkers, such as ER and HER2, in breast cancer (Bychkov et al., 2021; Naik et al., 2020).