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Author Songyang Yu ♦ Brown, S. ♦ Yu Xue ♦ Ling Guan
Source IEEE Xplore Digital Library
Content type Text
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
File Format PDF
Copyright Year ©1996
Language English
Subject Domain (in DDC) Technology ♦ Engineering & allied operations
Subject Keyword Wavelet transforms ♦ Frequency ♦ Image resolution ♦ Low pass filters ♦ Breast cancer ♦ Discrete wavelet transforms ♦ Filtering ♦ Clustering algorithms ♦ Signal processing algorithms ♦ Image segmentation
Abstract In this paper, we describe an algorithm for enhancement and detection of microcalcifications in digital mammograms. The microcalcifications are first enhanced by a undecimated wavelet transform and segmented by a classification based method. After spatial features are extracted from the segmented images, a neural network and a Bayes classifier are used to identify clustered microcalcifications. We have tested this algorithm on 40 regions-of-interest images extracted from the database provided by the University Hospital of Nijmegen.
Description Author affiliation: Dept. of Electr. Eng., Sydney Univ., NSW, Australia (Songyang Yu)
ISBN 0780332806
ISSN 1062922X
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research ♦ Reading
Education Level UG and PG
Learning Resource Type Article
Publisher Date 1996-10-14
Publisher Place China
Rights Holder Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Size (in Bytes) 466.66 kB
Page Count 6
Starting Page 1166
Ending Page 1171

Source: IEEE Xplore Digital Library