developing breast cancer. As such, accurately modelling the percentage of a mammogram
that is dense is a pivotal step in density based risk classification. In this work, a novel method
based on manifold learning is used to segment high-risk mammograms into density regions.
As such, finer details are present in the segmentations and more accurate measures of
breast density are produced. A set of high risk (BI-RADS IV) full field digital mammograms …