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Artificial Intelligence in the Interpretation of Medical Images

  • Conference paper
Medical Images: Formation, Handling and Evaluation

Part of the book series: NATO ASI Series ((NATO ASI F,volume 98))

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Abstract

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.

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Author information

Authors and Affiliations

  1. Department of Electrical Engineering, Delft University of Technology, Delft, The Netherlands

    E. Backer

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  1. E. Backer
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Editor information

Editors and Affiliations

  1. Department of Medical Physics, University College London, Gower Street, London, WC1E 6BT, UK

    Andrew E. Todd-Pokropek

  2. Computer Vision Research Group University Hospital Utrecht E02.222, Utrecht University, Heidelberglaan 100, 3584 CX, Utrecht, The Netherlands

    Max A. Viergever

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© 1992 Springer-Verlag Berlin Heidelberg

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Backer, E. (1992). Artificial Intelligence in the Interpretation of Medical Images. In: Todd-Pokropek, A.E., Viergever, M.A. (eds) Medical Images: Formation, Handling and Evaluation. NATO ASI Series, vol 98. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-77888-9_8

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  • DOI: https://doi.org/10.1007/978-3-642-77888-9_8

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-77890-2

  • Online ISBN: 978-3-642-77888-9

  • eBook Packages: Springer Book Archive

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