A Study on Convolution Neural Network for Breast Cancer Detection

Mammography is a widely used imaging technology for the detection and diagnosis of breast cancer. A computer-aided automatic classifier with the help of machine learning can improve the diagnosis system in terms of accuracy and time consumption. These types of system can automatically distinguish a benign and malignant pattern in a mammogram. Deep learning algorithms have gained a lot of popularity in recent years. Convolution Neural Network has become a preferred choice for images analysis including a mammogram. In this paper, we review various deep learning concepts applied to breast mammogram analysis and summarizes contributions to this field. We present a summary of the recent developments and a discussion about the best practices done using CNN in mammogram analysis and improvements that can be done in future research.