Computer Aided Diagnosis System for Mammogram Analysis: A Survey

摘要

This paper presents a survey in the field of computer aided diagnosis (CAD) of breast cancer. Breast cancer is a common disease among the women. Mammography is the most efficient tool to detect this disease in early stage. The task of the computer aided breast cancer diagnosis has been actively researched for last few decades. The main aim of the paper is to identify the method used in CAD of breast cancer. This paper summarizes the well-known methods used in preprocessing, segmentation, feature extraction and classification for breast cancer diagnosis in the mammogram. A method developed by the authors for detecting breast cancer is exposed. Recent research has also demonstrated that the image processing and data mining techniques can improve the overall performance of breast cancer detection. This survey is helpful for appropriate use of existing methods as well as the designing of new methods to improve the accuracy in detection.