Automated analysis of mammographic densi
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Jeffrey W. Byng; Martin J. Yaffe; Gina A. Lockwood; Laurie E. Little; David L. T
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Article
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1997
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John Wiley and Sons
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English
โ 102 KB
๐ 2 views
## Background: There is considerable evidence that one of the strongest risk factors for breast carcinoma can be assessed from the mammographic appearance of the breast. however, the magnitude of the risk factor and the reliability of the prediction depend on the method of classification. subjectiv