Journal
PATTERN RECOGNITION LETTERS
Volume 34, Issue 9, Pages 1053-1062Publisher
ELSEVIER
DOI: 10.1016/j.patrec.2013.01.031
Keywords
Intensity independent; Mammogram; Density classification; Breast cancer; Risk evaluation; Subspace ensemble
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Image intensity and texture in screening mammograms are thought to be associated with the risk of breast cancer. Studies on developing automatic breast cancer risk assessment schemes tend to employ texture measures which are correlated to local background intensity. Accordingly, the contribution of texture alone to risk assessment is not known. Here background intensity independent texture measures are used to assess cancer risk. Moreover risk assessment based on background intensity independent texture outperforms intensity dependent texture suggesting that local image background intensity may confound risk assessment. Performance seems to depend on the view of the breast and so suggests that optimizing schemes for different views may improve risk assessment. (C) 2013 Elsevier B.V. All rights reserved.
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