Breast Cancer Detection in Mammographic Image

Abstract

Breast cancer is one of the major causes of death in women when compared to all other cancers. This research was developed methods that can be used to detect abnormal breast tissues. Matlab programs were devolved to detect abnormal tissue in mammograms, to assist radiologist in their diagnosis as a second opinion. In this study100 image consist 100 normal ROIs, 100 abnormal ROIs (contained 61 benign ROIs and 39 ROIs malignant ROIs) was extracted from digital mammogram which obtained from mini-MAIS database. Five First order statistical features were calculated for each ROI. Fourteen Haralick features according to GLCM matrix was calculate for each ROI. The best features were selected by their ability to distinguish between normal and abnormal tissue to use it in program to detect breast cancer