Deep Learning in Mammography Breast Cancer Detection

Breast cancer incidence has increased in the past decades. Extensive efforts are being made for early detection to reduce the mortality rate. As one of the leading field in artificial intelligence, deep learning algorithms have been widely used in breast cancer research in recent years, ranging from detection, segmentation to classification. To provide insights and development in this field, we review and summarize the popular datasets and deep learning methods used in breast cancer detection, focusing on mammography. We provide a summary of the state-of-the-art deep learning methods in mammography breast cancer detection and its performance. We discuss the challenges in breast cancer detection and provide some new insights to advance the field.