AIME 89 pp 57-61 | Cite as

KIDS: A Specialized Architecture for Medical Image Interpretation

  • Sylvie Pesty
  • Catherine Garbay
Part of the Lecture Notes in Medical Informatics book series (LNMED, volume 38)

Abstract

This paper concerns the design of multi-agent architecture dedicated to biomedical specimen visual diagnosis. Such architecture is conceived as a networked set of agents, each responsible for a well-delimitated task and cooperating to solve the problem at hand. It is obtained by specializing two classes of agents, so-called KS (Knowledge Server) and KP (Knowledge Processor), and distributing the pathologist knowledge and know-how among these agents.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Chandrasekaran, B. (1987): Towards a functional architecture for intelligence based on generic information processing tasks. Proc.10th IJCAI, pp. 1183–1192.Google Scholar
  2. Chauvet, J.M. & Rappaport, A.T. (1985). Traitement symbolique de la connaissance: une étude en médecine. Actes du Colloque Scientifique “De l’Intelligence Artificielle aux Biosciences”, pp. 763–768. CESTA.Google Scholar
  3. Garbay, C. & Pesty, S. (1988). Expert system for biomedical image interpretation. Artificial Intelligence and Cognitive Sciences, pp. 323–345 (J. Demongeot, T. Hervé, V. Rialle, C. Roche, Eds.). Manchester University Press.Google Scholar
  4. Ferber, J. & Hallab, M. (1988). Problématique des univers multi-agents intelligents. Actes des Journées Nationales du PRC-GRECO “Intelligence Artificielle”, pp. 295–320, Teknea.Google Scholar
  5. Gruber, T., Cohen, P. (1987). Knowledge engineering tools at the architecture level. Proceedings of the tenth “International Join Conference on Artificial Intelligence”, pp. 100–103. IEEE Computer Society Press.Google Scholar
  6. Manon, G., Pesty, S. & Garbay, C. (1988): KIDS: a specialized architecture. Proc. 9th ICPR, pp. 995–997.Google Scholar
  7. Tsotsos, J.K. (1982). Knowledge of the visual process: content, form and use. Proceedings of the IVth International Conference on Pattern Recognition, pp. 654–669. IEEE Computer Society Press.Google Scholar
  8. Vesoul, P., Mariot, P., Haton, J.P., Ghedjati, F., Tombre, K., Wackenheim, A., Dosch, J.C., Zöllner, G. (1987). ORFEVRE. Proceedings of the VIth Congres of “Reconnaissance des Formes et Intelligence Artificielle”, pp. 403–417. AFCET/INRIA.Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 1989

Authors and Affiliations

  • Sylvie Pesty
    • 1
  • Catherine Garbay
    • 1
  1. 1.Equipe de Reconnaissance des Formes et de Microscopie Quantitative Laboratoire TIM 3/IMAGUniversité Joseph FourierGrenoble CedexFrance

Personalised recommendations