DocumentCode :
437349
Title :
Detection of calcifications in mammography using wavelets
Author :
Al-Qdah, Majdi ; Ramli, Abd Rahman ; Wirza, Rahmita ; Mahmud, Rozi ; Taysir, Malik
Author_Institution :
Fac. of Inf. Technol., Multimedia Univ., Malaysia
fYear :
2003
fDate :
25-26 Aug. 2003
Firstpage :
74
Lastpage :
77
Abstract :
Micro calcifications in mammograms can be very hard to detect because of the different shapes of these tumors and because of the confusion with the background texture. Different wavelet filters´ abilities are investigated to detect micro calcifications in mammogram-digitized images obtained from a Malaysian women sample. The images are obtained from a major hospital with positive micro calcifications in them identified by two separate radiologists. The wavelets´ abilities to decompose the images into different sub bands localized both in frequency and time domains is utilized decomposing a set of mammogram images into different frequency sub bands and then reconstructing the images with the high frequency components, which correspond to details in the images (micro calcifications) and removing the low frequency components that correspond to the smooth background of the mammogram. Finally evaluation is done on the separate filters by consultations with the radiologists to confirm the results of detections.
Keywords :
image texture; mammography; medical image processing; tumours; wavelet transforms; breast cancer; high frequency components; mammogram-digitized images; mammography; micro-calcification detection; time domains; wavelet filters; Breast cancer; Cancer detection; Filters; Fourier transforms; Frequency; Information technology; Integral equations; Mammography; Shape; Wavelet transforms;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Research and Development, 2003. SCORED 2003. Proceedings. Student Conference on
Print_ISBN :
0-7803-8173-4
Type :
conf
DOI :
10.1109/SCORED.2003.1459667
Filename :
1459667
Link To Document :
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