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Academic Radiology
Volume 16, Issue 7
, Pages 826-835
, July 2009
Breast Mass Segmentation in Mammography Using Plane Fitting and Dynamic Programming
References
- Cancer statistics, 2007. CA Cancer J Clin. 2007;57:43–66
- American College of Radiology guidelines for breast cancer screening. AJR Am J Roentgenol. 1998;171:29–33
- . The life-sparing potential of mammographic screening. Cancer. 2001;91:1699–1703
- . Analysis of cancers missed at screening mammography. Radiology. 1992;184:613–617
- . Computer-aided diagnosis in radiology: potential and pitfalls. Eur J Radiol. 1999;l31:97–109
- Computerized classification of benign and malignant masses on digitized mammograms: a study of robustness. Acad Radiol. 2000;7:1077–1084
- Improvement of mammographic mass characterization using spiculation measures and morphological features. Med Phys. 2001;28:1455–1465
- Approaches for automated detection and classification of masses in mammograms. Pattern Recognition. 2006;39:646–668
- Computer-aided characterization of mammographic masses: accuracy of mass segmentation and its effects on characterization. IEEE Trans Med Imaging. 2001;20:1275–1284
- Automated detection of breast masses on mammograms using adaptive contrast enhancement and texture classification. Med Phys. 1996;23:1685–1696
- . Computer detection of masses in digitized mammograms using single-image segmentation and a multilayer topographic feature analysis. Acad Radiol. 1995;2:959–966
- . Statistical segmentation of mammograms. Presented at: Digital Mammography. In: Doi K editors. International Congress Series. Amsterdam, The Netherlands: Elsevier; 1996;p. 471–474
- . Incorporation of an iterative, linear segmentation routine into a mammographic mass CAD system. Med Phys. 2004;31:1512–1520
- A dual-stage method for lesion segmentation on digital mammograms. Med Phys. 2007;34:4180–4193
- . Using dynamic programming for solving variational problem in vision. IEEE Trans Pattern Anal Mach Intell. 1990;12:855–867
- . Recognition of kidney glomerulus by dynamic programming matching method. IEEE Trans Pattern Anal Mach Intell. 1988;10:731–737
- Delineation of ECT images using global constraints and dynamic programming. IEEE Trans Med Imaging. 1991;10:489–498
- Computerized scheme for determination of the likelihood measure of malignancy for pulmonary nodules on low-dose CT images. Med Phys. 2003;30:387–394
- . A new 2D segmentation method based on dynamic programming applied to computer aided detection in mammography. Med Phys. 2004;31:958–971
- . Improved dynamic-programming-based algorithms for segmentation of masses in mammograms. Med Phys. 2007;34:4256–4269
- . Segmentation of pulmonary nodules in three-dimensional CT images by use of a spiral-scanning technique. Med Phys. 2007;34:4678–4689
- Nation-wide breast cancer screening in The Netherlands: results of initial and subsequent screening 1990-1995. Int J Cancer. 1998;75:694–698
- The Mammographic Image Analysis Society digital mammogram database. Presented at: Exerpta Medica. International Congress Series. 1994;1069:375–378Available at:http://peipa.essex.ac.uk/info/mias.html
- Current status of the digital database for screening mammography. In: Karssemeijer N, Thijssen M, Hendriks J editor. Presented at: Digital Mammograpy. Boston, MA: Kluwer, Dordrecht; 1998;p. 457–460Available at: http://marathon.csee.usf.edu/
- . Normalized cuts and image segmentation. IEEE Trans Pattern Anal Mach Intell. 2000;22:888–905
- Heath M, Bowyer KW, Kopans D. The Digital Database for Screening Mammography. Presented at: 5th International Workshop on Digital Mammography. Toronto, Canada. June 2000.
- American College of Radiology Breast Imaging Reporting and Data System Atlas (BI-RADS Atlas). 4th ed.. Reston, VA: American College of Radiology; 2003;
- . Blind inverse γ correction. IEEE Trans Image Proc. 2001;10:1428–1433
- Image Segmentation with Normalized Cuts. Available at: http://www.cis.upenn.edu/∼jshi/software/Accessed November 30, 2006
- . Automated seeded lesion segmentation on digital mammograms. IEEE Trans Med Imaging. 1998;17:510–517
- . Segmentation of suspicious densities in digital mammograms. Med Phys. 2001;28:259–266
- . An empirical parameter selection method for endocardial border identification algorithms. Comput Med Imaging Graph. 2001;25:33–45
This research was supported by the National 863 High Technology Research and Development Program of China (grant no. 2006AA02Z347).
PII: S1076-6332(08)00775-7
doi: 10.1016/j.acra.2008.11.014
© 2009 AUR. Published by Elsevier Inc. All rights reserved.
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Academic Radiology
Volume 16, Issue 7
, Pages 826-835
, July 2009
