Diagnosis of Alzheimer′s disease based on stepwise gaussian process
CHEN Jing
JIN Chen
TENG Shenghua
Abstract：The computer-aided diagnosis of Alzheimer's disease from brain imaging generally is affected by high data dimension-ality and the lack of training samples.On the basis of the Gaussian process,a stepwise classification frame work was designed to allevi-ate this small-sample problem.All test samples were firstly classified by Gaussian process.The samples with high or low posterior probabilities were identified as being correctly classified with high confidence,and then included into the training data to reclassify the rest samples.Experiments on ADNI database show that the second classification tends to increase the posterior probability of the test sample belonging to the right category and improve the classification certainty.The classification performance of the proposed method is superior to the conventional Gaussian process and support vector machine(SVM).
Keywords：Alzheimer′s diseaseMagnetic resonance imagingGaussian processStepwise classificationKullback-leibler di-vergence
Publication Date：2018-01-01
Online Publishing Date：2026-09-11(First online date of this platform, not the publication date of the document)
Pages：5( 16-20 )