Characterization of Architectural Distortion in Mammograms Based on Texture Analysis Using Support Vector Machine Classifier with Clinical Evaluation

Author:

Kamra Amit,Jain V K,Singh Sukhwinder,Mittal Sunil

Publisher

Springer Science and Business Media LLC

Subject

Computer Science Applications,Radiology, Nuclear Medicine and imaging,Radiological and Ultrasound Technology

Reference33 articles.

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3. American College of Radiology: The ACR breast imaging reporting and data system 2003. Available at http://www.acr.orgdepartments/stand_accred/birads/contents.html . Accessed 25 January, 2014

4. Rao AR, Jain CR: Computerized flow field analysis: oriented texture fields. IEEE Trans. Pattern Anal. Mach. Intell. 14:693–709, 1992

5. Guo Q, Shao J, Ruiz V: Investigation of support vector machine for the detection of architectural distortion in mammographic images. Journal of Physics: Conference Series 15:88–94, 2005

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