Document Detail

Improvement of microcalcification cluster detection in mammography utilizing image enhancement techniques.
MedLine Citation:
PMID:  18774128     Owner:  NLM     Status:  MEDLINE    
In this work, the effect of an image enhancement processing stage and the parameter tuning of a computer-aided detection (CAD) system for the detection of microcalcifications in mammograms is assessed. Five (5) image enhancement algorithms were tested introducing the contrast-limited adaptive histogram equalization (CLAHE), the local range modification (LRM) and the redundant discrete wavelet (RDW) linear stretching and shrinkage algorithms. CAD tuning optimization was targeted to the percentage of the most contrasted pixels and the size of the minimum detectable object which could satisfactorily represent a microcalcification. The highest performance in two mammographic datasets, were achieved for LRM (A(Z)=0.932) and the wavelet-based linear stretching (A(Z)=0.926) methodology.
A Papadopoulos; D I Fotiadis; L Costaridou
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Publication Detail:
Type:  Journal Article     Date:  2008-09-05
Journal Detail:
Title:  Computers in biology and medicine     Volume:  38     ISSN:  0010-4825     ISO Abbreviation:  Comput. Biol. Med.     Publication Date:  2008 Oct 
Date Detail:
Created Date:  2008-12-08     Completed Date:  2009-01-02     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  1250250     Medline TA:  Comput Biol Med     Country:  United States    
Other Details:
Languages:  eng     Pagination:  1045-55     Citation Subset:  IM    
Department of Medical Physics, Medical School, University of Ioannina, GR 45110 Ioannina, Greece.
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MeSH Terms
False Positive Reactions
Radiographic Image Enhancement*

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine

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