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Proceedings Paper

Detection of microcalcifications in mammograms using nonlinear subband decomposition and outlier labeling
Author(s): Metin Nafi Guercan; Yasemin C. Yardimci; Enis A. Cetin; Rashid Ansari
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Paper 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.

Paper Details

Date Published: 10 January 1997
PDF: 10 pages
Proc. SPIE 3024, Visual Communications and Image Processing '97, (10 January 1997); doi: 10.1117/12.263303
Show Author Affiliations
Metin Nafi Guercan, Bilkent Univ. (Turkey)
Yasemin C. Yardimci, Bilkent Univ. (Turkey)
Enis A. Cetin, Bilkent Univ. (Turkey)
Rashid Ansari, Univ. of Illinois/Chicago (United States)


Published in SPIE Proceedings Vol. 3024:
Visual Communications and Image Processing '97
Jan Biemond; Edward J. Delp, Editor(s)

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