Detection of abnormal MR brains based on wavelet entropy and feature selection
Published 2016 View Full Article
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Title
Detection of abnormal MR brains based on wavelet entropy and feature selection
Authors
Keywords
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Journal
IEEJ Transactions on Electrical and Electronic Engineering
Volume 11, Issue 3, Pages 364-373
Publisher
Wiley
Online
2016-02-10
DOI
10.1002/tee.22226
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- (2013) A. Padma et al. ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING
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- (2012) Muthu Rama Krishnan Mookiah et al. KNOWLEDGE-BASED SYSTEMS
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- (2011) Ayush Bhandari et al. IEEE TRANSACTIONS ON SIGNAL PROCESSING
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- (2009) El-Sayed Ahmed El-Dahshan et al. DIGITAL SIGNAL PROCESSING
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