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A system to model, assist and control the human observation of microscopic specimen

  • A. Derder
  • C. Garbay
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 753)

Abstract

This paper describes current research on computerized assistance to cytological specimen exploration. The purpose is not to design a new diagnosis expert system, but rather to design a system able to cooperate with the human expert in the execution of specimen exploration task. New man machine assistance models are necessary to this end, which imply not only knowledge-based but also behaviour-based modelling. An information manager is described, allowing access to information supplied by this model. An error monitoring is also presented. Its goal is to control all tasks and activities involved in the cytological specimen exploration.

Keywords

Expert System Task Model Finite State Automaton Error Monitoring Syntactical Parser 
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 1993

Authors and Affiliations

  • A. Derder
    • 1
  • C. Garbay
    • 1
  1. 1.Equipe Reconnaissance des Formes et Microscopie Quantitative Lab. TIM3 / IMAGUniversité Joseph FourierGrenoble CedexFrance

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