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arXiv 1002.21822010-02-10cs.CV

Detection of Microcalcification in Mammograms Using Wavelet Transform and Fuzzy Shell Clustering

Velalar College of Engineering and Technology（维拉拉尔工程技术学院）；PSG College of Technology（PSG理工学院）

T. Balakumaran, I. L. A. Vennila, C. Gowri Shankar

备注：: IEEE format, International Journal of Computer Science and Information Security, IJCSIS January 2010, ISSN 1947 5500, http://sites.google.com/site/ijcsis/
发表信息：: International Journal of Computer Science and Information Security, IJCSIS, Vol. 7, No. 1, pp. 121-125, January 2010, USA

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Microcalcifications in mammogram have been mainly targeted as a reliable earliest sign of breast cancer and their early detection is vital to improve its prognosis. Since their size is very small and may be easily overlooked by the examining radiologist, computer-based detection output can assist the radiologist to improve the diagnostic accuracy. In this paper, we have proposed an algorithm for detecting microcalcification in mammogram. The proposed microcalcification detection algorithm involves mammogram quality enhancement using multirresolution analysis based on the dyadic wavelet transform and microcalcification detection by fuzzy shell clustering. It may be possible to detect nodular components such as microcalcification accurately by introducing shape information. The effectiveness of the proposed algorithm for microcalcification detection is confirmed by experimental results.

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