Using multiple data mining techniques to assist MRI diagnosis of brain glioma

Lixiu Yao; Chenzhou Ye; Jie Yang

doi:10.1117/12.440300

18 September 2001 Using multiple data mining techniques to assist MRI diagnosis of brain glioma

Lixiu Yao, Chenzhou Ye, Jie Yang

Author Affiliations +

Proceedings Volume 4556, Data Mining and Applications; (2001) https://doi.org/10.1117/12.440300
Event: Multispectral Image Processing and Pattern Recognition, 2001, Wuhan, China

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.

Citation Download Citation

Lixiu Yao, Chenzhou Ye, and Jie Yang "Using multiple data mining techniques to assist MRI diagnosis of brain glioma", Proc. SPIE 4556, Data Mining and Applications, (18 September 2001); https://doi.org/10.1117/12.440300

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