An optimized feature selection method for breast cancer diagnosis in digital mammogram using multiresolution representation
This paper introduces a method for feature extraction from multiresolution representations (wavelet,curvelet) for classification of digital mammograms. The proposed method selects the features according to its capability to distinguish between different classes. The method starts with both performin...
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Main Authors: | , |
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Format: | Article |
Published: |
Natural Sciences Publishing Co.
2014
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Online Access: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-84904563903&doi=10.12785%2famis%2f080629&partnerID=40&md5=68214d039f35c3dd05199831fb640d13 http://eprints.utp.edu.my/32315/ |
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Institution: | Universiti Teknologi Petronas |