Automatic mass segmentation method in mammograms based on improved VFC snake model
Xiangyu Lu; Min Dong; Yide Ma; Keju Wang School of Information Science and Engineering, Lanzhou University, Lanzhou, China
Abstract
Mammography analysis is an efficient way for the early detection of breast cancer. In this chapter, we present an integrated method for mass auto-segmentation in breast. First of all, the local threshold method, rough set theory, and morphological filter are used to remove the label and enhance the mammogram. Second, we apply the Hough transformation algorithm on the preprocessed image and locate the lesion as an approximate parametric circle which would be used as the initial contour of Snake model followed by. Finally, ...
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