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Artificial Intelligence in Radiology

  • A. Wackenheim
Conference paper

Abstract

The present time is characterized by a tremendous increasing of knowledge. The traditional ways of stocking and transmission of this knowledge (oral transmission, traditions, books) are unable to organize the patrimony of knowledge and of new ways of thinking. This is particularly true in radiology which is one of the most explosive disciplines in the present time. We propose to develop our equipment and to improve our way of professional life and general competence in adopting the so-called artificial intelligence among our computer programs in the future.

Keywords

Cervical Spine Vertebral Body Vertebral Artery Axial View Cervical Canal 
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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References

  1. 1.
    Wackenheim A (1984) La ségrégation d’unites figurales par la proximité et la ressemblance de leurs composants. J Radiol 65: 6–7, 437–441PubMedGoogle Scholar
  2. 2.
    Wackenheim A (1984) La lecture structuraliste de l’image radiologique. J Radiol 65: 61–69PubMedGoogle Scholar
  3. 3.
    Wackenheim A (1984) Analyse structuraliste de l’image radiologique. Radiologie J CEPUR 4: 289–290Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 1986

Authors and Affiliations

  • A. Wackenheim
    • 1
  1. 1.StrasbourgFrance

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