Artificial Intelligence in the Interpretation of Medical Images

  • E. Backer
Conference paper
Part of the NATO ASI Series book series (volume 98)


This article presents an overview of the field of knowledge-based approaches in the processing and interpretation of medical images. It describes the major developments in artificial intelligence and image processing that have led up to the current potential to further the increasing interest in automated processing (knowledge-based systems) and interpretation (expert systems) of medical images. After a brief discussion of the principal scientific and engineering issues in the field of knowledge-based image processing, the process of building knowledge-based systems, and the frontiers of research and development, a number of reported systems for processing and interpretation of medical images are briefly reviewed. The development of an expert system for the analysis of scintigraphic images is then presented, emphasizing knowledge acquisition, implementation and evaluation. Finally, a perspective view on reasoning under uncertainty is presented.


Expert System Credibility Function Certainty Factor Basic Probability Assignment Pattern Recognition System 
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 1992

Authors and Affiliations

  • E. Backer
    • 1
  1. 1.Department of Electrical EngineeringDelft University of TechnologyDelftThe Netherlands

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