title: [Study of mass segmentation algorithm for digital mammograms].
abstract: The shape characteristics of breast mass in digital mammograms are important clues in discriminating malignant and benign tumors. To provide more valuable information from the breast mass for radiologist, an enhanced mass segment method is presented. A new region growing with some parameters can be used to segment the mass region effectively. Moreover, the feature of the mass edge is well kept.
authors.affiliation: College of Physics Science Technology, Yangzhou University, Yangzhou 225002, China. chenlei@yzu.edu.cn
authors.forename: Lei
authors.initials: L
authors.lastname: Chen
authors.forename: Kai
authors.initials: K
authors.lastname: Zhang
authors.forename: Zhencheng
authors.initials: Z
authors.lastname: Jin
mesh_terms: D000465:Algorithms; D001943:Breast Neoplasms / Q000000981:diagnostic imaging*; D003936:Diagnosis, Computer-Assisted; D005260:Female; D006801:Humans; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D007091:Image Processing, Computer-Assisted; D008327:Mammography / Q000379:methods*; D010363:Pattern Recognition, Automated / Q000379:methods; D011856:Radiographic Image Enhancement / Q000379:methods*