A Better Classifier Based on Rough Set and Neural Network for Medical Images

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Sixth IEEE International Conference on Data Mining - Workshops (ICDMW'06)

Hong Kong, China

December 18-December 22

ISBN: 0-7695-2702-7

	ASCII Text	x
	Jiang Yun, Li Zhanhuai, Wang Yong, Zhang Longbo, "A Better Classifier Based on Rough Set and Neural Network for Medical Images," Data Mining Workshops, International Conference on, pp. 853-857, Sixth IEEE International Conference on Data Mining - Workshops (ICDMW'06), 2006.

	BibTex	x
	@article{ 10.1109/ICDMW.2006.1, author = {Jiang Yun and Li Zhanhuai and Wang Yong and Zhang Longbo}, title = {A Better Classifier Based on Rough Set and Neural Network for Medical Images}, journal ={Data Mining Workshops, International Conference on}, volume = {0}, year = {2006}, isbn = {0-7695-2702-7}, pages = {853-857}, doi = {http://doi.ieeecomputersociety.org/10.1109/ICDMW.2006.1}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Data Mining Workshops, International Conference on TI - A Better Classifier Based on Rough Set and Neural Network for Medical Images SN - 0-7695-2702-7 SP853 EP857 A1 - Jiang Yun, A1 - Li Zhanhuai, A1 - Wang Yong, A1 - Zhang Longbo, PY - 2006 KW - null VL - 0 JA - Data Mining Workshops, International Conference on ER -

Jiang Yun, Northwestern Polytechnical University

Li Zhanhuai, Northwestern Polytechnical University

Wang Yong, Northwestern Polytechnical University

Zhang Longbo, Northwestern Polytechnical University

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICDMW.2006.1

Detecting tumor in mammography is a difficult task because of complexity in the image. This brings the necessity of creating automatic tools to find whether a mammography present tumor or not. In this paper we integrate neural network with reduction of rough set theory which we call the rough neural network (RNN) to classify digital mammography. The experimental results show that the RNN performs better than purely using neural network in terms of time, and it can get 92.37% classifying accuracy which is higher than 81.25% using neural network only.

Citation:

Jiang Yun, Li Zhanhuai, Wang Yong, Zhang Longbo, "A Better Classifier Based on Rough Set and Neural Network for Medical Images," icdmw, pp.853-857, Sixth IEEE International Conference on Data Mining - Workshops (ICDMW'06), 2006

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