To improve the interpretability of our deep learning model in distinguishing HER2‐positive from HER2‐low breast cancer patients, attention maps were used to visualize pixel importance through color gradients, highlighting the most significant regions contributing to the model's decision. This evidence concerns the gene ERBB2 and breast cancer.