Deep Learning Techniques for Breast Cancer Mitotic Cell Detection

Abstract

Breast cancer is one of the highest incidence in women's cancer, The pathological diagnosis of breast cancer can be used to evaluate the invasion of tumors and provide important information for accurate diagnosis and treatment. Statistics the number of mitosis cells in breast cancer is one of the important indicators of breast cancer division. In this paper, we summarized the current mainstream methods of mitosis cells detection. These methods are mainly implemented based on deep learning, and discussing the results of some of the methods, comparison and evaluation. At last, through the review of the research methods in this field, the existing breast cancer research methods have been summarized, and the future developments are prospected.