Intelligent agent support for automated radiology exam

Yi Shang; Mihail Popescu

doi:10.1117/12.403600

9 October 2000 Intelligent agent support for automated radiology exam

Yi Shang, Mihail Popescu

Proceedings Volume 4118, Parallel and Distributed Methods for Image Processing IV; (2000) https://doi.org/10.1117/12.403600
Event: International Symposium on Optical Science and Technology, 2000, San Diego, CA, United States

Abstract

A difficult problem in automatic medical image understanding is that for every image type such as x-ray and every body organ such as heart, there exist specific solutions that do not allow for generalization. Just collecting all the specific solutions will not achieve the vision of a computerized physician. To address this problem, we propose an intelligent agent approach that is based on agent-oriented programming is that it combines the benefits of object-oriented programming and expert system. For radiology image understanding, we present a multi- agent system that is composed of two major types of intelligent agents: radiologist agents and patient agents. A patient agent asks for multiple opinions from radiologists agents in interpreting a given set of images and then integrates the opinions. A radiologist agent decomposes the image recognition task into smaller problems that are solved collectively by multiple intelligent sub-agents. Finally, we present a preliminary implementation and running examples of the multi-agent system.

Citation Download Citation

Yi Shang and Mihail Popescu "Intelligent agent support for automated radiology exam", Proc. SPIE 4118, Parallel and Distributed Methods for Image Processing IV, (9 October 2000); https://doi.org/10.1117/12.403600

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