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Distributed plan construction and execution for medical image interpretation

  • N. Bianchi
  • P. Bottoni
  • C. Garbay
  • P. Mussio
  • C. Spinu
Image and Signal Processing
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1211)

Abstract

Research in the field of medical image interpretation inspired a multi-agent planning model in which a population of agents reaches global goals pursuing local plans and producing partial results. Cooperation is achieved by collecting results, reanalysing the reached state and starting new plans; local plans are generated and executed in a distributed way. The state is composed of a directed graph, describing the currently obtained results and of an attributed string, concatenating the trace of the performed operations with the current plan. A model of agent and agent generation is presented and an example of application given in the field of liver biopsy interpretation.

Keywords

Local Plan Result Graph Interpretation Process White Zone Global Goal 
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 1997

Authors and Affiliations

  • N. Bianchi
    • 1
  • P. Bottoni
    • 2
  • C. Garbay
    • 3
  • P. Mussio
    • 2
  • C. Spinu
    • 3
  1. 1.ElectroTechnical Laboratory1-1-4 UmezonoIbarakiJapan
  2. 2.DSI - University of RomeRomeItaly
  3. 3.Institut BonniotLab. TIMCLa TroncheFrance

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