In breast cancer, the primary method for quantitative and semi-quantitative assessing HER2 IHC stained response consists of feature extraction followed by traditional machine learning (Ellis et al., 2005; Masmoudi et al., 2009). This evidence concerns the gene ERBB2 and breast carcinoma.