Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
4958311 | Computer Methods and Programs in Biomedicine | 2016 | 17 Pages |
Abstract
An automatic CAD system for the classification of AD based on feature-ranking method and classification errors is proposed. In this regard, seven-feature ranking methods (i.e., SD, MI, IG, PCC, TS, FC, and GI) are evaluated. The optimal size of top discriminative features is determined by the classification error estimation in the training phase. The experimental results indicate that the performance of the proposed system is comparative to that of state-of-the-art classification models.
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Physical Sciences and Engineering
Computer Science
Computer Science (General)
Authors
Iman Beheshti, Hasan Demirel, Farnaz Farokhian, Chunlan Yang, Hiroshi Matsuda, Alzheimer's Disease Neuroimaging Initiative Alzheimer's Disease Neuroimaging Initiative,