DETECTION OF BREAST CANCER IN MAMMOGRAMS - A SURVEY
S. Abinaya, R. Sivakumar, Marcus Karnan, Diwakar Shankar, Muthulingeshkumar Karthikeyan · 2014
Breast cancer is one the common diseases among the females in the world. The main goal of mammography is to detect of breast cancer earlier by using characteristic masses and microcalcifications. This method proposes an approach for detection and diagnosis of breast cancer in mammogram using artificial bear optimization approach. Initially the mammograms images are acquired from MIAS database and then the digital mammogram images are enhanced by using median filter. Enhanced image is further normalized. The suspicious regions or microcalcification is segmented using bilateral subtraction. Bear optimization algorithm is used to automatically detect the breast border area and nipple board position to identifying region for mammograms digital image. It focuses comparative survey on various enhancement and segmentation techniques used in mammograms for detecting the breast cancer.