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Summary: Abstract--Intelligent management of medical data is an
important field of research in clinical information and decision
support systems. Such systems are finding increasing use in the
management of patients known to have, or suspected of having,
breast cancer. Different types of breast-tissue patterns convey
semantic information which is reported by the radiologist when
reading mammograms. In this paper, a novel method is
presented for the automatic labelling and characterisation of
mammographic densities. The presented method is first
concerned with the identification of the prominent structures
in each mammogram. Subsequently, `dense tissue' is labelled in
a mammogram data set, and BI-RADS classification is
performed based on a 2D pdf that is contracted from a
"ground truth" data set as well as a shape analysis framework.
The presented method can be used in large-scale
epidemiological studies which involve mammographic
measurements of tissue-pattern, especially since breast-tissue
density has been linked to an increased risk of breast cancer.
Keywords--Image Analysis and Classification; Intelligent
Decision Support Systems.
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