Mammographic Mass Segmentation Using Variational Method
Jinxin Wan, Yihua Lan, Rongsheng Zhao, Yangdong Wu · 2013
Mass segmentation is a very important step in most computer-aided diagnosis (CAD) systems for classification of suspicious regions as normal, benign or malignant. Although a lot of algorithms have been proposed for mass segmentation in mammography, accurate segmentation is still a challenge. In this article, a global optimal active contour model was applied to mammography masses segmentation. Variational method was employed to solve it. At last, a lot of experiments were carried out to demonstrate the effeteness of the proposed hybrid method.