Improved detection of cancer in screening mammograms by temporal comparison

Fei Ma*, Mariusz Bajger, Simon Williams, Murk J. Bottema

*Corresponding author for this work

Research output: Chapter in Book or Report/Conference proceedingConference Proceedingpeer-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
Number of pages8
Publication statusPublished - 2010
Externally publishedYes
Event10th International Workshop on Digital Mammography, IWDM 2010 - Girona, Catalonia, Spain
Duration: 16 Jun 201018 Jun 2010

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


Conference10th International Workshop on Digital Mammography, IWDM 2010
CityGirona, Catalonia


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

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