doi: 10.7763/IJMO.2012.V2.171
Comparison of Wavelet Based Decomposition Techniques for the Analysis of Masses and Calcification in Mammogram Detection
- 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
How to 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. 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).




