Michael A W.Segmentation of the breast region in mammograms using snakes[A].Alexei S.Canadian Conference on Computer and Robot Vision[C].Canada:IEEE Computer Society, 2004.385-392.
[2]
邱建峰.于兹喜, 李月卿, 等.数字乳腺X线照片CAD中可疑密度区域的自动分割[J].泰山医学院学报, 2005, 26(2):136-139. Qiu Jian-feng, Yu Zi-xi, Li Yue-qing, et al.Segmentation of suspicious densities in digital mammograms.computer-aided detection[J].Journal of Taishan Medecial College, 2005, 26(2):136-139.(in Chinese)
[3]
Yu Hong-wei.Xu Wei-dong, Liu Wei, et al.Gaussian pyramid based multi-scale GVF for mass segmentation in digitized mammograms[A].2009 3rd International Conference on Bioinformatics and Biomedical Engineering[C].Beijing:IEEE Computer Society, 2009.1-4.
[4]
许新征, 于世飞, 史忠植, 等.图像分割的新理论和新方法[J].电子学报, 2010, 38(2A):76-82. Xu Xin-fei, Yu Shi-fei, Shi Zhong-zhi, et al.New theories and methods of image segmentation[J].Acta Electronica Sinica, 2010, 38(2A):76-82.(in Chinese)
[5]
王颖, 李洁, 高新波.基于MCA的乳腺X线图像中肿块的自适应检测方法[J].电子学报, 2011, 39(3):525-530. Wang Ying, Li Jie, Gao Xin-bo.An adaptive mass detection method on mammography based on MCA[J].Acta Electronica Sinica, 2011, 39(3):525-530.(in Chinese)
[6]
Zhao H K, Chan T F, Merriman B, et al.A variational level-set approach to multipahase motion[J].Journal of Computational Physics, 1996, 127:179-195.
[7]
Bregman L.The relaxation method of finding the common points of convex sets and its application to the solution of problems in convex optimization[J].USSR Computational Mathematics and Mathematical Physics, 1967, 7:200-217.
[8]
T Goldstein, S Osher.The split bregman method for L1 Regularized problems[J].SIAM Journal on Imaging Sciences, 2009, 2(2):323-343.
[9]
Rojas D A, Nandi A K.Improved dynamic-programming-based algorithms for segmentation of masses in mammograms[J].Medical Physics, 2007, 34(11):4256-4269.
[10]
J E Ball.Three stage level set segmentation of mass core, periphery, and spiculations for automated image analysis of digital mammograms[D].Starkville:Mississppi State Univ, 2007:55-80.
[11]
Chan H P.Computer-aided breast cancer diagnosis[A].Pertrick N, Sahiner B.In Artifical Intelligence Techniques in Breast Cancer Diagnosis and Prognosis[C].Nanjing:World Scientific Press.2002:179-264.
[12]
Sahiner B, Chan H P, Petrick N, et al.Improvement of mammographic mass characterization usingspiculation measures and morphological features[J].Medical Physics, 2001, 28(7):1455-1465.
[13]
John E Ball.Lori Mann Bruce.Digital mammogram spiculated mass detection and spicule segmentation using level sets[A].29th Annual International Conference of the IEEE EMBS[C].Lyon, France:IEEE Computer Society, 2007.1979-1984.
[14]
张建伟, 方林, 陈允杰, 等.基于活动轮廓模型的左心室MR图像分割[J].电子学报, 2011, 11(39):2670-2673. Zhang Jian-wei, Fang Lin, Chen Yun-jie, et al.Left ventricle MRI segmentation based on active contour Mode[J].Acta Electronica Sinica, 2011, 11(39):2670-2673.(in Chinese)
[15]
Caselles V, Morel J M, Sapiro G.Geodesic active contour models[J].International Journal of Computer Vision, 1997, 22:61-79.
[16]
Tony F Chan, Luminita A Vese.Active contours without edges[J].IEEE Transactions, 2001, Image Processing-10(2):266-277.
[17]
X Bresson, S Esedoglu, P Vandergheynst, et al.Fast global minimization of the active Contour/Snake model[J].Journal of Mathematic Imaging and Vision, 2007, 28(2):151-167.
[18]
X Bresson.A short guide on a fast global minimization algorithm for active contour models[J].Energy, 2009:1-19.
[19]
王琦, 潘振宽, 魏伟波.多项图像分割的Split-Bregman方法及对偶方法[J].计算机辅助设计与图形学报, 2010, 22(9):1561-1569. Wang Qi, Pan Zhen-kuan, Wei Wei-bo.Split-bregman method and dual method form multiphase image segmentation[J].Journal of Computer-Aided Design & Computer Graphics.2010, 22(9):1561-1569.(in Chinese)
[20]
兰义华.基于图像内容检索的乳腺肿块诊断方法研究.武汉:华中科技大学图书馆, 2011:70-82. Lan Yi-hua.Research on computer-aided diagnose of mammographic masses using content-based image retrieval[D].Wu han:The Library of Huazhong University of Science and Technology, 2011:70-82.(in Chinese)
[21]
T Goldstein, X Bresson, S Osher.Geometric applications of the split bregman method:segmentation and reconstruction[J].Journal of Scientific Computing, 2009, 45(1-3):272-293
[22]
Osher S, Burger M, Goldfarb D, et al.An iterative regularization method for total variation-based image restoration[J].Multiscale Modeling and Simulation, 2005, 4(2):460-489.
