ERBB2 and breast cancer: Finally, Naik et al.32, developed a ReceptorNet ER+/ER− binary classifier trained on patches sampled from 2535 H&E WSIs from Australian Breast Cancer Tissue Bank (ABCTB) and 1014 H&E WSIs from 939 patients from TCGA with ER, PR, and HER2 status determined by pathologists using IHC.