Detection of microcalcifications in mammograms using nonlinear subband decomposition and outlier labeling
Author
Gürcan, M. Nafi
Yardımcı, Yasemin C.
Çetin, A. Enis
Ansari, R.
Date
1997-02Source Title
Proceedings - Visual Communications and Image Processing '97
Print ISSN
0277-786X
Publisher
SPIE
Pages
909 - 918
Language
English
Type
Conference PaperItem Usage Stats
152
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120
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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.
Keywords
Calcification (biochemistry)Communication
Communication systems
Computer aided diagnosis
Digital image storage
Filter banks
Image communication systems
Image processing
Imaging systems
Labeling
Mammography
Motion compensation
Visual communication
Computer-aided diagnoses
Labeling methods
Microcalcifications
Out-liers
Picture archiving
Region of interests
Simulation studies
Subband decompositions
Picture archiving and communication systems
Permalink
http://hdl.handle.net/11693/27694Published Version (Please cite this version)
http://dx.doi.org/10.1117/12.263303Collections
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