AAAI Publications, Workshops at the Twenty-Seventh AAAI Conference on Artificial Intelligence

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Discovery of Discriminating Neural Regions for MRI Classification
S. Seth Long, Lawrence B. Holder

Last modified: 2013-06-29

Abstract


Machine learning methods can be applied to MRI scans of the brain in order to classify patients according to particular characteristics, such as Alzheimer's Disease, advanced age, or a high level of education. This work presents the Graph Neural Analyzer, which can discover structural correlations with a variety of potential classifications including age, level of education, gender, socioeconomic status, ethnicity, and Alzheimer's Disease. Classification is used as a demonstration that discovered correlations are valid, rather than as an end in itself. Results are given for each of the classifications given above.

Keywords


MRI, SVM, Graph, Correlation Discovery, 3D Image Processing

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