KIDS : A distributed expert system for biomedical image interpretation

  • A Ovalle
  • C Garbay
8. Rule Based Systems And Learning
Part of the Lecture Notes in Computer Science book series (LNCS, volume 511)


This paper is about KIDS (Knowledge-based Image Diagnosis System), a knowledge-based system to assist the human diagnosis of cytological specimen. After a short state of the art, we describe the expertise involved in the exploration of cytological specimen. MAPS (Multi-Agent Problem Solver) is afterwards rapidly presented, as defining a generic environment for multi-agent system design. Modelling of medical expertise is then presented : the global architecture of KIDS is firstly described, followed by a precise description of the agent role, resources and behaviour. We finally discuss the present state of the system as well as the existing human-computer interaction facilities.


High-level Modelling of Human Reasoning Distributed Artificial Intelligence : Multi-Agent Design Software Architecture for Computer-assisted Problem Solving Human-Computer Interaction for Breast Cancer Cyto-Diagnosis 


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Copyright information

© Springer-Verlag Berlin Heidelberg 1991

Authors and Affiliations

  • A Ovalle
    • 1
  • C Garbay
    • 1
  1. 1.Equipe de Reconnaissance des Formes et de Microscopie Quantitative Laboratoire TIM3 - IMAGUniversité Joseph Fourier CERMOGrenoble Cédex

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