A cognitive multi agent system to model radiologist decision making : Aid breast cancer diagnosis
Joint Authors
Source
Journal of Automation and Systems Engineering
Issue
Vol. 4, Issue 2 (30 Jun. 2010)10 p.
Publisher
Publication Date
2010-06-30
Country of Publication
Algeria
No. of Pages
10
Main Subjects
Topics
Abstract EN
Breast cancer continues to be one of the leading causes of mortality among women.
Digital mammography is used by radiologist for analysis and interpretation of cancer.
Visual reading and interpretation of mammograms is a very demanding and expensive job.
Early detection of breast cancer is essential in breast cancer control.
Computer Aided Diagnosis (CAD) systems have been developed to complement radiologists in interpreting mammograms.
In this paper we present a novel approach to lesion interpretation in digital mammograms.
The proposed method is based on cognitive multi agent system to mode the decision making.
The use of ontology can be beneficial to bring the communication between various agents and to facilite the making decision process.
American Psychological Association (APA)
Boufera, H.& Bendella, F.. 2010. A cognitive multi agent system to model radiologist decision making : Aid breast cancer diagnosis. Journal of Automation and Systems Engineering،Vol. 4, no. 2.
https://search.emarefa.net/detail/BIM-180080
Modern Language Association (MLA)
Boufera, H.& Bendella, F.. A cognitive multi agent system to model radiologist decision making : Aid breast cancer diagnosis. Journal of Automation and Systems Engineering Vol. 4, no. 2 (Jun. 2010).
https://search.emarefa.net/detail/BIM-180080
American Medical Association (AMA)
Boufera, H.& Bendella, F.. A cognitive multi agent system to model radiologist decision making : Aid breast cancer diagnosis. Journal of Automation and Systems Engineering. 2010. Vol. 4, no. 2.
https://search.emarefa.net/detail/BIM-180080
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references.
Record ID
BIM-180080