Detection of microcalcifications in mammograms using nonlinear subband decomposition and outlier labeling

Metin Nafi Guercan; Yasemin C. Yardimci; Enis A. Cetin; Rashid Ansari

doi:10.1117/12.263303

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10 January 1997 Detection of microcalcifications in mammograms using nonlinear subband decomposition and outlier labeling

Metin Nafi Guercan, Yasemin C. Yardimci, Enis A. Cetin, Rashid Ansari

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Proceedings Volume 3024, Visual Communications and Image Processing '97; (1997) https://doi.org/10.1117/12.263303
Event: Electronic Imaging '97, 1997, San Jose, CA, United States

Abstract

Computer-aided diagnosis will be an important feature of the next generation picture archiving and communication systems. In this paper, computer-aided detection of microcalcifications in mammograms using a nonlinear subband decomposition and outlier labeling is examined. The mammogram image is first decomposed into subimages using a nonlinear subband decomposition filter bank. A suitably identified subimage is divided into overlapping square regions in which skewness and kurtosis as measures of the asymmetry and impulsiveness of the distribution are estimated. A region with high positive skewness and kurtosis is marked as a region of interest. Finally, an outlier labeling method is used to find the locations of microcalcifications in these regions. Simulation studies are presented.

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Metin Nafi Guercan, Yasemin C. Yardimci, Enis A. Cetin, and Rashid Ansari "Detection of microcalcifications in mammograms using nonlinear subband decomposition and outlier labeling", Proc. SPIE 3024, Visual Communications and Image Processing '97, (10 January 1997); https://doi.org/10.1117/12.263303

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