Breast cancer diagnosis: a survey of pre-processing, segmentation, feature extraction and classification

<span lang="EN-US">Machine learning methods have been an interesting method in the field of medical for many years, and they achieved successful results various fields science. This paper examines effects using machine algorithms diagnosis classification breast cancer from mammography imaging data. Cancer is identification images as or non-cancer, this involves image preprocessing, feature extraction, classification, performance analysis. article studied 93 different references mentioned previous years processing tries to find effective way diagnose classify cancer. Based on research, it can be concluded that most today’s focus use deep methods. Finding a new requires overview existing order make comparison case study.</span>