Kumar and colleagues performed breast cancer subtype classification using the VGGNet-based CNN, which reported an accuracy rate of 78% in differentiating Luminal A and Luminal B subtypes, and 67% in discerning all four subtypes of breast cancer including Luminal A, Luminal B, HER2-positive, and basal-like [46]. This evidence concerns the gene ERBB2 and breast carcinoma.