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An Optimal Approach for Selecting Discriminant Regions for the Diagnosis of Alzheimer's Disease

Salas-Gonzales, D. ; Segovia, F. ; Martínez-Murcia, F. J. ; Lang, E. W. ; Gorriz, J. M. ; Ramirez, J.



Abstract

In this work, we present a fully automatic computer-aided diagnosis method for the early diagnosis of the Alzheimer's disease. We study the distance between classes (labelled as normal controls and possible Alzheimer's disease) calculated in 116 regions of the brain using the Welchs's t-test. We select the regions with highest Welchs's t-test value as features to perform classification. ...

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