Semiautomatic Mammographic Parenchymal Patterns Classification Using Multiple Statistical Features

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Semiautomatic mammographic parenchymal patterns classification using multiple statistical features.

RATIONALE AND OBJECTIVES Our project was to investigate a complete methodology for the semiautomatic assessment of digital mammograms according to their density, an indicator known to be correlated to breast cancer risk. The BI-RADS four-grade density scale is usually employed by radiologists for reporting breast density, but it allows for a certain degree of subjective input, and an objective ...

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Automatic Classification of Mammographic Parenchymal Patterns: A Statistical Approach

Breast parenchymal density has been found to be a strong indicator for breast cancer risk [1], however, to date, measures of breast density are qualitative and require the judgement of the radiologist. Objective, quantitative measures of breast density are crucial tools for assessing the association between the risk of breast cancer and mammographic density as well as for quantification of dens...

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ژورنال

عنوان ژورنال: Academic Radiology

سال: 2007

ISSN: 1076-6332

DOI: 10.1016/j.acra.2007.07.014