From vision to diagnosis a multi-agent system in biomedicine

Author

Garbay, Catherine

Author_Institution

Lab. TIM3/IMAG, Univ. Joseph Fourier, Grenoble, France

fYear

1989

fDate

9-12 Nov 1989

Firstpage

1787

Abstract

KISS (Knowledge-based Image Segmentation System) and KIDS (Knowledge-based Image Diagnosis System), which are multiagent systems devoted to the analysis and interpretation of biomedical images, are discussed. They allow a high-level modeling of the expertise of the computer vision scientist and pathologist, using a distributed approach involving a networked set of agents dedicated to the handling of specific subtasks and communicating by message-passing. The systems are currently under development on an Apollo workstation using the Flavor system and the MAPS (Multi-Agent Problem Solver) environment

Keywords

computerised picture processing; expert systems; medical diagnostic computing; Apollo workstation; Flavor system; KIDS; KISS; Knowledge-based Image Diagnosis System; Knowledge-based Image Segmentation System; MAPS; Multi-Agent Problem Solver; biomedical images analysis; biomedical images interpretation; computer vision scientist; distributed approach; high-level modeling; message-passing; multi-agent system; networked set of agents; pathologist; subtasks; Biomedical imaging; Computer vision; Humans; Image analysis; Image segmentation; Knowledge based systems; Multiagent systems; Problem-solving; Reconnaissance; Workstations;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 1989. Images of the Twenty-First Century., Proceedings of the Annual International Conference of the IEEE Engineering in

Conference_Location

Seattle, WA

Type

conf

DOI

10.1109/IEMBS.1989.96456

Filename

96456