Automatic classification of alzheimer's desease vs. frontotemporal dementia: a spatial decision tree aprroach with FDG-PET

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Publication Type Journal Article
School or College College of Engineering
Department Electrical & Computer Engineering
Creator Tasdizen, Tolga; Foster, Norman L.
Other Author Sadeghi, N.; Wang, A. Y.; Minoshima, S.; Lieberman, A. P.
Title Automatic classification of alzheimer's desease vs. frontotemporal dementia: a spatial decision tree aprroach with FDG-PET
Date 2008
Description We introduce a novel approach for the automatic classification of FDG-PET scans of subjects with Alzheimers Disease (AD) and Frontotemporal dementia (FTD). Unlike previous work in the literature which focuses on principal component analysis and predefined regions of interest, we propose the combined use of information gain and spatial proximity to group cortical pixels into empirically determined regions that can best separate the two diseases. These regions are then used as attributes in a decision tree learning framework. We demonstrate that the proposed method provides better classification accuracy compared to other methods on a group of 48 autopsy confirmed AD and FTD patients.
Type Text
Publisher Institute of Electrical and Electronics Engineers (IEEE)
First Page 408
Last Page 411
Language eng
Bibliographic Citation Sadeghi, N., Foster, N. L., Wang, A. Y., Lieberman, A. P., & Tasdizen, T. (2008). Automatic classification of alzheimer's desease vs. frontotemporal dementia: a spatial decision tree aprroach with FDG-PET. Proceedings of IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 408-11.
Rights Management (c) 2008 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Format Medium application/pdf
Format Extent 164,491 bytes
Identifier ir-main,15216
ARK ark:/87278/s6h428tc
Setname ir_uspace
Date Created 2012-06-13
Date Modified 2021-05-06
ID 704896
Reference URL https://collections.lib.utah.edu/ark:/87278/s6h428tc
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