Detection of microcalcifications in mammograms using local maxima and adaptive wavelet transform analysis
Author:
Publisher
Institution of Engineering and Technology (IET)
Subject
Electrical and Electronic Engineering
Link
https://digital-library.theiet.org/content/journals/10.1049/el_20020907?crawler=true&mimetype=application/pdf
Reference6 articles.
1. Wavelet transforms for detecting microcalcifications in mammograms
2. Microcalcifications Detection Using Adaptive Filtering and Gaussianity Tests
3. Detection of microcalcifications in mammograms using higher order statistics
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1. Performance evaluation of the wave atom algorithm to classify mammographic images;TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES;2014
2. Twin support vector machines and subspace learning methods for microcalcification clusters detection;Engineering Applications of Artificial Intelligence;2012-08
3. A novel rotation/scale invariant template matching algorithm using weighted adaptive lifting scheme transform;Pattern Recognition;2010-07
4. Microcalcification detection based on wavelet domain hidden Markov tree model: Study for inclusion to computer aided diagnostic prompting system;Medical Physics;2007-05-25
5. Detecting region-of-interest (ROI) in digital mammogram by using morphological bandpass filter;2004 IEEE International Conference on Multimedia and Expo (ICME) (IEEE Cat. No.04TH8763)
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