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A density-typed approach to enhancement and quantitative evaluation of mammograms

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Title: A density-typed approach to enhancement and quantitative evaluation of mammograms
Author: Lyon, Jennifer A.
Department: Department of Computing and Information Science
Advisor: Wirth, M.A.
Abstract: Breast cancer is a leading cause of death among women in North America, but the rate of deaths due to breast cancer in Canada has declined steadily from an estimated 33 percent in 1992 to 26 percent in 2002; a decline believed to be due to the benefits of improved screening, treatments and early detection techniques. The challenge of breast cancer detection through mammography remains a problem for radiologists and researchers alike, as new solutions to the many problematic stages of mammogram analysis are sought. In particular, the problem of poor mammographic image quality has been addressed in the literature, with a variety of techniques aimed at improving the contrast enhancement of these medical images. An investigation at length, however, of the factors affecting mammogram enhancement has not been adequately explored due to the subjectivity and uncertainty of the problem. This work therefore explores the topic of mammogram enhancement, the empirical evaluation of enhancement success and the role of breast density on a selection of enhancement techniques; revealing a density-typed mammogram enhancement scheme.
Date: 2003
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