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Proceedings Paper

Application of rough set for medical images data mining
Author(s): Shuyan Wang; Chunmei Wang; Yan Chen
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Paper Abstract

To study the application of Rough set algorithm for diagnosis breast cancer, attribute reduction strategies of rough set are applied to the data mining of the mammography classification, proposes a medical images classifier based on association rules. Attribute reduction strategies of rough set for medical image data mining are realized. The experiment results are given. The experimental results show that the system performs well in accuracy, verified the great potential of rough set in assistant medical treatment.

Paper Details

Date Published: 19 August 2010
PDF: 7 pages
Proc. SPIE 7820, International Conference on Image Processing and Pattern Recognition in Industrial Engineering, 782003 (19 August 2010); doi: 10.1117/12.867103
Show Author Affiliations
Shuyan Wang, Xi'an Institute of Posts & Telecommunications (China)
Chunmei Wang, Xi'an Institute of Posts & Telecommunications (China)
Yan Chen, Xi'an Institute of Posts & Telecommunications (China)


Published in SPIE Proceedings Vol. 7820:
International Conference on Image Processing and Pattern Recognition in Industrial Engineering
Shaofei Wu; Zhengyu Du; Shaofei Wu; Zhengyu Du; Shaofei Wu; Zhengyu Du, Editor(s)

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