An agent-based approach for interpreting medical images

Author

Popescu, Mihail ; Shang, Yi

Author_Institution

Dept. of Comput. Eng. & Comput. Sci., Missouri Univ., Columbia, MO, USA

fYear

1999

fDate

1999

Firstpage

129

Lastpage

130

Abstract

We present an agent-based approach for medical image interpretation. The system is based on the concept of active fusion for image recognition and is composed of two major types of intelligent agents: radiologist agents and patient representative agents. A patient representative agent takes images from the patient through a Web-based interface, asks for multiple opinions from radiologist agents in interpreting them, and then integrates the opinions for the user. A radiologist agent decomposes the image interpretation task into smaller subtasks, uses multiple agents to solve the subtasks, and combines the solutions to the subtasks intelligently to solve the image interpretation problem

Keywords

image recognition; medical image processing; radiology; software agents; Web-based interface; active fusion; agent-based approach; image interpretation; image recognition; intelligent agents; medical image interpretation; patient representative agents; radiologist agents; Biomedical imaging; Image analysis; Image processing; Image recognition; Image segmentation; Intelligent agent; Magnetic resonance imaging; Master-slave; Medical diagnostic imaging; X-ray imaging;

fLanguage

English

Publisher

ieee

Conference_Titel

Tools with Artificial Intelligence, 1999. Proceedings. 11th IEEE International Conference on

Conference_Location

Chicago, IL

ISSN

1082-3409

Print_ISBN

0-7695-0456-6

Type

conf

DOI

10.1109/TAI.1999.809777

Filename

809777