Improved detection of cancer in screening mammograms by temporal comparison

Fei Ma, Mariusz Bajger, Simon Williams, Murk Bottema

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    7 Citations (Scopus)


    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.

    Original languageEnglish
    Title of host publicationDigital Mammography - 10th International Workshop, IWDM 2010, Proceedings
    Subtitle of host publication10th International Workshop, IWDM 2010, Girona, Catalonia, Spain, June 16-18, 2010. Proceedings
    EditorsJoan Martí, Arnau Oliver, Jordi Freixenet, Robert Martí
    Number of pages8
    ISBN (Electronic)978-3-642-13666-5
    ISBN (Print)978-3-642-13665-8
    Publication statusPublished - 21 Jul 2010
    EventInternational Workshop on Digital Mammography - Catalonia, Spain
    Duration: 16 Jun 201018 Jun 2010
    Conference number: 10th

    Publication series

    NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    Volume6136 LNCS
    ISSN (Print)0302-9743
    ISSN (Electronic)1611-3349


    ConferenceInternational Workshop on Digital Mammography


    • breast cancer
    • computer-aided mammography
    • graph matching
    • mass detection
    • temporal analysis


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