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General Information
    • ISSN: 2010-3697  (Online)
    • Abbreviated Title: Int. J. Model. Optim.
    • Frequency:  semiannually
    • DOI: 10.7763/IJMO
    • Editor-in-Chief: Prof. Adrian Olaru
    • Executive Editor: Ms. Cecilia Xie
    • Abstracting/ Indexing: CNKI, EBSCO, ProQuest,Google Scholar, etc.
    • E-mail: editor@ijmo.org
    • APC: 500USD
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
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 , M. Evangelin Jenifer

  • Department of ECE, Karunya University, Coimbatore, India.

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.

Keywords

  • Breast cancer
  • mass detection
  • digital mammography
  • microcalcification
171-S200

How to Cite

Copied

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. https://doi.org/ 10.7763/IJMO.2012.V2.171

Copyright & License

Copyright © 2012 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

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