Novel Segmentation Technique Using Wavelet Based Active Contour Model for Detection of Mammographic Lesions

[1]  L. Tabár,et al.  Beyond randomized controlled trials , 2001, Cancer.

[2]  Vijay K. Jain,et al.  Markov random field for tumor detection in digital mammography , 1995, IEEE Trans. Medical Imaging.

[3]  Wesley E. Snyder,et al.  Lesion detection and characterization in digital mammography by Bezier histograms , 1999, Medical Imaging.

[4]  Maryellen L. Giger,et al.  Automated seeded lesion segmentation on digital mammograms , 1998, IEEE Transactions on Medical Imaging.

[5]  Demetri Terzopoulos,et al.  Snakes: Active contour models , 2004, International Journal of Computer Vision.

[6]  D. Mumford,et al.  Optimal approximations by piecewise smooth functions and associated variational problems , 1989 .

[7]  J. Sethian,et al.  Fronts propagating with curvature-dependent speed: algorithms based on Hamilton-Jacobi formulations , 1988 .

[8]  Enrique Nava,et al.  Microcalcifications detection using multiresolution methods , 2000, Proceedings 15th International Conference on Pattern Recognition. ICPR-2000.

[9]  Daniel S. Miller,et al.  Annual report to the nation on the status of cancer, 1973-1996, with a special section on lung cancer and tobacco smoking. , 1999, Journal of the National Cancer Institute.

[10]  N. Otsu A threshold selection method from gray level histograms , 1979 .

[11]  M. Säbel,et al.  Recent developments in breast imaging. , 1996, Physics in medicine and biology.

[12]  Frederic Fol Leymarie,et al.  Tracking Deformable Objects in the Plane Using an Active Contour Model , 1993, IEEE Trans. Pattern Anal. Mach. Intell..