A Novel Approach for Breast Cancer Detection and Segmentation in a Mammogram

Abstract

Abstract Mammography is a well-known method used for the detection of breast cancer. Many researchers worked in the area of breast cancer detection and proposed segmentation methods. However, no solution given by researchers is best promising and has limitations and it is still a challenging problem to solve. We introduce a simple and easy approach for detection of cancerous tissues in mammogram. Detection phase is followed by segmentation of the tumor region in a mammogram image. Our approach uses simple image processing techniques such as averaging and thresholding. We introduce a Max-Mean and Least-Variance technique for tumor detection. Experimental results demonstrate the effectiveness of our approach.