ERBB2 and breast cancer: The algorithm, based on ResNet50, was trained using a multi-country dataset of 3474 patients (Australian Breast Cancer Tissue Bank and The Cancer Genome Atlas), and achieved AUCs of 0.92, 0.81, and 0.78, for ER, PgR, and HER2, respectively.