Comparison of Wavelet Based Decomposition Techniques for the Analysis of Masses and Calcification in Mammogram Detection - Volume 2 Number 4 (Aug. 2012) - ijmo
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General Information
Editor-in-chief
Prof. Adrian Olaru
University Politehnica of Bucharest, Romania
I'm happy to take on the position of editor in chief of IJMO. It's a journal that shows promise of becoming a recognized journal in the area of modelling and optimization. I'll work together with the editors to help it progress.
IJMO 2012 Vol.2(4): 504-507 ISSN: 2010-3697
DOI: 10.7763/IJMO.2012.V2.171

Comparison of Wavelet Based Decomposition Techniques for the Analysis of Masses and Calcification in Mammogram Detection

D. Narain Ponraj, Sweety Kunjachan, P. Poongodi, and M. Evangelin Jenifer

Abstract—Mammographic mass detection is an important task for the early diagnosis of breast cancer. In this paper we proposed a method for the detection of masses and calcifications based on wavelet transforms using digital mammography. In digital mammography the breast image is captured using a special electronic X-ray detector which converts the image into digital mammograms. The results show that the proposed detection scheme achieves greater detection performance compared to conventional methods.

Index Terms—Breast cancer, mass detection, digital mammography, microcalcification.

The authors are with the Department of ECE, Karunya University, Coimbatore, India. (e-mail: narainpons@gmail.com ; sweetykunjachan88@gmail.com; poongodiravikumar@yahoo.co.in; evan.jeni.21@gmail.com).

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Cite: D. Narain Ponraj, Sweety Kunjachan, P. Poongodi, and M. Evangelin Jenifer, "Comparison of Wavelet Based Decomposition Techniques for the Analysis of Masses and Calcification in Mammogram Detection," International Journal of Modeling and Optimization vol. 2, no. 4, pp. 504-507, 2012.

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