Temporal Analysis of Mammograms Based on Graph Matching

Authors:
Fei Ma;Mariusz Bajger;Murk J. Bottema
Affiliations:
School of Computer Science, Engineering and Mathematics, Flinders University, Adelaide SA, Australia 5001;School of Computer Science, Engineering and Mathematics, Flinders University, Adelaide SA, Australia 5001;School of Computer Science, Engineering and Mathematics, Flinders University, Adelaide SA, Australia 5001
Venue:
IWDM '08 Proceedings of the 9th international workshop on Digital Mammography
Year:
2008

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Abstract

A method is proposed for detecting masses in screening mammograms by analyzing changes between current and previous mammograms. The method uses graph matching in order to circumvent the problem of registering images of the same breast taken up to three years apart. Ninety five temporal pairs of images were separated into a training set (51 pairs) and a testing set (44 pairs). A small increase in performance, as measured by the area under the ROC curve, was found for the testing set when detection rates with graph matching were compared to detection rates without graph matching.