Image processing for Pectoral Muscle boundary detection
Mammography is one of the most utilized method by radiologists for detection of breast related diseases such as breast cancer, breast density, masses and microcalcifications. Basic motivations behinds Computer-aided detection (CAD) systems is to provide objective and more accurate information to reduce the rate of misdiagnosis of breast cancer. CAD system also helps to provide correct view of region of interest to the radiologists.
Mammographic views are further divided into three different regions known as breast boundary, background, and pectoral muscle.
In this, we detect the pectoral muscle from the breast border using Canny edge detection, sobel filtering and hough transform.