Exploitation of Correspondence Between CC and MLO Views in Computer Aided Mass Detection

  • Saskia van Engeland
  • Nico Karssemeijer
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4046)


In this paper we investigate the effect of reclassification of CAD findings using correspondences in MLO and CC views, with the aim of reducing false positives and inconsistencies. We use a method to link regions identified as suspicious in both projections and add a two-view classifier to an existing CAD scheme. The input of this two-view classifier was a feature vector containing the likelihood of malignancy of the region, the likelihood of malignancy of the corresponding region in the other view, and a number of features that describe the resemblance between the both regions. Using FROC analysis we show that detection results improve when using two-view information.


Linear Discriminant Analysis Single View Abnormal Case Forward Feature Selection Correspondence Score 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Saskia van Engeland
    • 1
  • Nico Karssemeijer
    • 1
  1. 1.Department of RadiologyRadboud University Nijmegen Medical CentreThe Netherlands

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