Multiresolution mammogram analysis in multilevel decomposition

Faculty Computer Science Year: 2007
Type of Publication: Article Pages: 286-292
Authors: DOI: 10.1016/j.patrec.2006.07.010
Journal: PATTERN RECOGNITION LETTERS ELSEVIER SCIENCE BV Volume: 28
Research Area: Computer Science ISSN ISI:000242780800013
Keywords : digital mammogram, discrete wavelets transform, features extraction, breast cancer diagnosis    
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. (c) 2006 Elsevier B.V. All rights reserved.
   
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