Temporal analysis of mammograms based on graph matching

Fei Ma*, Mariusz Bajger, Murk J. Bottema

*Corresponding author for this work

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

6 Citations (Scopus)


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.

Original languageEnglish
Title of host publicationDigital Mammography - 9th International Workshop, IWDM 2008, Proceedings
Number of pages8
Publication statusPublished - 2008
Externally publishedYes
Event9th International Workshop on Digital Mammography, IWDM 2008 - Tucson, AZ, United States
Duration: 20 Jul 200823 Jul 2008

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5116 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference9th International Workshop on Digital Mammography, IWDM 2008
Country/TerritoryUnited States
CityTucson, AZ


  • Computer-aided mammography
  • Graph matching
  • Mammogram registration
  • Temporal analysis

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