@inproceedings{c4d5955d68764d8e9544d6a920d4f6ca,
title = "Temporal analysis of mammograms based on graph matching",
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.",
keywords = "Computer-aided mammography, Graph matching, Mammogram registration, Temporal analysis",
author = "Fei Ma and Mariusz Bajger and Bottema, {Murk J.}",
year = "2008",
doi = "10.1007/978-3-540-70538-3_23",
language = "English",
isbn = "3540705376",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
pages = "158--165",
booktitle = "Digital Mammography - 9th International Workshop, IWDM 2008, Proceedings",
note = "9th International Workshop on Digital Mammography, IWDM 2008 ; Conference date: 20-07-2008 Through 23-07-2008",
}