Learning to classify x-ray images using relational learning

  • Claude Sammutl
  • Tatjana Zrimec
Regular Papers Applications of ML
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1398)


Image understanding often requires extensive background knowledge. The problem addressed in this paper is such knowledge can be acquired. We discuss how relational machine learning methods can be used to automatically build rules for classifying types of blood vessels. We introduce a new learning system that can make use of background knowledge coded as arbitrarily complex Prolog programs to construct concept descriptions, particularly those needed to classify features in an image.


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Copyright information

© Springer-Verlag Berlin Heidelberg 1998

Authors and Affiliations

  • Claude Sammutl
    • 1
  • Tatjana Zrimec
    • 1
    • 2
  1. 1.School of Computer Science and EngineeringUniversity of New South WalesSydneyAustralia
  2. 2.Faculty of Computer and Information ScienceUniversity of LjubljanaLjubljanaSlovenia

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