Detection of microcalcifications in mammograms using nonlinear subband decomposition and outlier labeling
Proceedings - Visual Communications and Image Processing '97
909 - 918
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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.
Computer aided diagnosis
Digital image storage
Image communication systems
Region of interests
Picture archiving and communication systems
Published Version (Please cite this version)http://dx.doi.org/10.1117/12.263303
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