Automatic Detections of Nipple and Pectoralis Major in Mammographic Images
Yi‐Chong Zeng · 2018
After diagnosing, doctors record diagnostic results as structure data. For example, they record mass position by referring to relative positions of another object not coordinate. Those objects include tissues of breast and areas of human body. This paper presents schemes to detect nipple and pectoralis major. For nipple detection, we consider cases of visible and invisible nipples. Our scheme computes curvature of edge between breast and background, and then finds convex area or largest curvature, which is considered as nipple. In mediolateral oblique (MLO) view image, edge appears between pectoralis major and non-muscle. For pectoralis major detection, the proposed scheme applies Smith-Waterman algorithm to scoring matrix referred to MLO image. Finally, boundary of pectoralis major is defined as path with minimum score. The experiment results demonstrate that the proposed scheme has good performances in nipple and pectoralis major detections.