Phys Med Biol. 2010 May 21;55(10):2807-17. Epub 2010 Apr 22.

Computer-aided diagnosis of Alzheimer's disease using support vector machines and classification trees.

Salas-Gonzalez D, Górriz JM, Ramírez J, López M, Alvarez I, Segovia F, Chaves R, Puntonet CG.

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Department of Signal Theory Networking and Communications, ETSIIT, University of Granada, Spain. dsalas@ugr.es

Abstract

This paper presents a computer-aided diagnosis technique for improving the accuracy of early diagnosis of Alzheimer-type dementia. The proposed methodology is based on the selection of voxels which present Welch's t-test between both classes, normal and Alzheimer images, greater than a given threshold. The mean and standard deviation of intensity values are calculated for selected voxels. They are chosen as feature vectors for two different classifiers: support vector machines with linear kernel and classification trees. The proposed methodology reaches greater than 95% accuracy in the classification task.

PMID:: 20413829; [PubMed - indexed for MEDLINE]

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Cited by 2 PubMed Central articles

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