For instance, La Forgia et al. [27] demonstrated that radiomic features extracted from CEM images were highly effective in distinguishing breast cancer molecular subtypes, particularly achieving strong classification performance for HER2-positive and triple-negative tumors. This evidence concerns the gene ERBB2 and breast cancer.