Name
Abstract | ||
|---|---|---|
In this paper, 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. |
Year | DOI | Venue |
|---|---|---|
1999 | 10.1109/TAI.1999.809777 | Chicago, IL |
Keywords | Field | DocType |
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 | Computer vision,Intelligent agent,Information retrieval,Medical imaging,Computer science,Image processing,Software agent,Image segmentation,Artificial intelligence,Representative agent,Web based interface,Machine learning | Conference |
ISSN | ISBN | Citations |
1082-3409 | 0-7695-0456-6 | 0 |
PageRank | References | Authors |
0.34 | 1 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mihail Popescu | 1 | 469 | 48.76 |
| Yi Shang | 2 | 30 | 5.25 |