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Proceedings Paper

Using multiple data mining techniques to assist MRI diagnosis of brain glioma
Author(s): Lixiu Yao; Chenzhou Ye; Jie Yang
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Paper Abstract

The main preoperative way to assess the malignant degree of brain glioma is based on patient's MRI (Magnetic Resonance Imaging) findings and clinical data. Neuroradiologists' experience plays a critical role during the process due to the lack of knowledge about the relationships between influential factors and types of tumor. In order to improve the diagnosis accuracy without incurring the troubles in learning experience from domain experts, we ask help from data mining. Multi-layer perceptron network, decision tree, and rules indication are its common techniques. They are adopted to extract useful diagnostic patterns directly from MRI records of brain glioma patients.

Paper Details

Date Published: 18 September 2001
PDF: 5 pages
Proc. SPIE 4556, Data Mining and Applications, (18 September 2001); doi: 10.1117/12.440300
Show Author Affiliations
Lixiu Yao, Shanghai Jiao Tong Univ. (China)
Chenzhou Ye, Shanghai Jiao Tong Univ. (China)
Jie Yang, Shanghai Jiao Tong Univ. (China)

Published in SPIE Proceedings Vol. 4556:
Data Mining and Applications
Deren Li; Jie Yang; Jufu Feng; Shen Wei, Editor(s)

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