Multiresolution mammogram analysis in multilevel decomposition

Authors:
Essam A. Rashed;Ismail A. Ismail;Sherif I. Zaki
Affiliations:
Department of Mathematics, Faculty of Science, Suez Canal University, Ismailia 41522, Egypt;Department of Computer Science, Faculty of Computers and Informatics, Zagazig University, Zagazig, Egypt;Department of Mathematics, Faculty of Science, Suez Canal University, Ismailia 41522, Egypt
Venue:
Pattern Recognition Letters
Year:
2007

Citing 3
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Abstract

A multiresolution analysis system for interpreting digital mammograms is proposed and tested. This system is based on using fractional amount of biggest wavelets coefficients in multilevel decomposition. A set of real labeled database is used in evaluating the proposed system. The evaluation results show that the system has a remarkably high efficiency compared by other systems known till present especially in the area of distinguishing between benign and malignant tumors.