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Computer Aided Diagnosis System based on Performance Evaluation Agent Model
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 Title & Authors
Computer Aided Diagnosis System based on Performance Evaluation Agent Model
Rhee, Hyun-Sook;
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 Abstract
In this paper, we present a performance evaluation agent based on fuzzy cluster analysis and validity measures. The proposed agent is consists of three modules, fuzzy cluster analyzer, performance evaluation measures, and feature ranking algorithm for feature selection step in CAD system. Feature selection is an important step commonly used to create more accurate system to help human experts. Through this agent, we get the feature ranking on the dataset of mass and calcification lesions extracted from the public real world mammogram database DDSM. Also we design a CAD system incorporating the agent and apply five different feature combinations to the system. Experimental results proposed approach has higher classification accuracy and shows the feasibility as a diagnosis supporting tool.
 Keywords
CAD system;feature selection;performance evaluation agent;feature ranking;
 Language
Korean
 Cited by
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Reference URL : http://marathon.csee.usf.edu/Mammography/Database.html