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

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.

Description
Date of Conference: 8-14 February 1997
Conference name: Electronic Imaging '97 - Proceedings - Visual Communications and Image Processing '97
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
Citation