DocumentCode :
864820
Title :
Detection of microcalcifications in mammograms using local maxima and adaptive wavelet transform analysis
Author :
Bagci, A.M. ; Cetin, A.E.
Author_Institution :
Dept. of Electr. & Electron. Eng., Bilkent Univ., Ankara, Turkey
Volume :
38
Issue :
22
fYear :
2002
fDate :
10/24/2002 12:00:00 AM
Firstpage :
1311
Lastpage :
1313
Abstract :
A method for computer-aided diagnosis of microcalcification clusters in mammogram images is presented. Microcalcification clusters which are an early sign of breast cancer appear as isolated bright spots in mammograms. Therefore they correspond to local maxima of the image. The local maxima of the image is first detected and they are ranked according to a higher-order statistical test performed over the subband domain data.
Keywords :
higher order statistics; least mean squares methods; mammography; medical image processing; wavelet transforms; adaptive wavelet transform analysis; breast cancer; computer-aided diagnosis; filterbank structure; higher-order statistical test; isolated bright spots; least mean square algorithm; local maxima; mammogram images; microcalcification clusters; subband domain data;
fLanguage :
English
Journal_Title :
Electronics Letters
Publisher :
iet
ISSN :
0013-5194
Type :
jour
DOI :
10.1049/el:20020907
Filename :
1047065
Link To Document :
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