“…Therefore, a great amount of computer-aided detection (CAD) systems have been developed to improve the efficiency of mammogram interpretation. Recently, deep learning models have been used to measure the likelihood of cancer from a mammogram [ 5 , 6 , 7 , 8 , 9 , 10 , 11 , 12 , 13 , 14 , 15 , 16 , 17 , 18 , 19 , 20 , 21 , 22 ], some of which were designed to detect and classify micro-calcifications or calcified lesions [ 8 , 9 , 10 ], mass lesions [ 11 , 12 , 13 , 14 ] and even all the contained lesions [ 15 , 16 , 17 , 18 , 19 , 20 , 21 , 22 ]. Breast lesions found in mammograms are mainly classified into normal, benign and malignant [ 15 , 16 , 17 , 18 , 19 , 20 ] and are further classified as normal, benign calcification, benign mass, malignant calcification and malignant mass [ 21 , 22 ].…”