Development algorithm- computer program of digital mammograms Segmentation for detection of masses breast using Marker-Controlled Watershed in MATLAB environment


Breast cancer detection images are the standard clinical practice for the diagnosis and prognosis of breast cancer. Digital Mammogram has emerged as the most popular screening technique for early detection of Breast Cancer and other abnormalities. Raw digital mammograms are medical images that are difficult to interpret so we need to develop Computer Aided Diagnosis (CAD) systems that will improve detection of abnormalities in mammogram images. In this paper we present a fully algorithm for detection of abnormal masses by anatomical segmentation of Breast Region of Interest (ROI). We are using medio-lateral oblique (MLO) view of mammograms. We have proposed method Marker-Controlled Watershed Segmentation Algorithm (MCWSA). The algorithms proposed are fully autonomous, and are able to isolate and abnormal regions in the breast tissue, If any abnormalities are present it gets accurately highlighted by this algorithm thus helping the radiologists to further investigate these regions, a task very few existing mammogram segmentation algorithms can claim