Improved detection of cancer in screening mammograms by temporal comparison

Authors:
Fei Ma;Mariusz Bajger;Simon Williams;Murk J. Bottema
Affiliations:
Flinders University, Bedford Park, SA, Australia;Flinders University, Bedford Park, SA, Australia;Flinders University, Bedford Park, SA, Australia;Flinders University, Bedford Park, SA, Australia
Venue:
IWDM'10 Proceedings of the 10th international conference on Digital Mammography
Year:
2010

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Abstract

A method is presented for including information from the preceeding mammogram in a scheme for automatically detecting malignant masses in screening mammograms The method circumvents the inherent difficulty of registering temporal mammograms by replacing image registration by graph matching The scheme incorporates a single image mass detection algorithm and so the contribution of the temporal analysis can be measured At a true detection rate of 80 percent, the single image scheme results in 1.02 false positive detections per image while the temporal scheme results in 0.96 false positives At 90 percent true detection, the false positive rates per image are 1.84 and 1.63 respectively.