@inproceedings{0762dbf2369d44259270d869297c31a5,
title = "Improved detection of cancer in screening mammograms by temporal comparison",
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.",
keywords = "breast cancer, computer-aided mammography, graph matching, mass detection, temporal analysis",
author = "Fei Ma and Mariusz Bajger and Simon Williams and Bottema, {Murk J.}",
year = "2010",
doi = "10.1007/978-3-642-13666-5_101",
language = "English",
isbn = "3642136656",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
pages = "752--759",
booktitle = "Digital Mammography - 10th International Workshop, IWDM 2010, Proceedings",
note = "10th International Workshop on Digital Mammography, IWDM 2010 ; Conference date: 16-06-2010 Through 18-06-2010",
}
