Automatic mass segmentation method in mammograms based on improved VFC snake model - Emerging Trends in Image Processing, Computer Vision, and Pattern Recognition - page 175

[16] Hassanien A, Abraham A, Peters J, Schaefer G, Herry C. Rough sets and near sets in
medical imaging: a review. IEEE Trans Inf Technol Biomed. 2009;13(6):955-968.
[17] Liu Y, Ma Y, Xia C, Li S. Rough sets theory and its applications in image processing.
Appl Res Comput. 2007;24(4):176-178 [Jisuanji Yingyong Yanjiu].
[18] Hough PV. Method and means for recognizing complex paterns. U.S. Patent 3069654;
1962.
[19] Canny J. A computational approach to edge detection. IEEE Trans Patern Anal Mach
Intell. 1986;8(6):679-698.
[20] Ha Z, Li C, Wang J, Zhou K, Yang Z. A new evaluation method for medical image seg-
mentation. Beijing Biomed Eng. 2008;27(4):385-388.
[21] Lu X, Ma Y, Xie W, Li T. Automatic mass segmentation method in mammograms based on
improved VFC Snake model. In: The 2014 International conference on image processing,
computer vision, and patern recognition; 2014.