High-dimensional classification approaches have been widely used to investigate magnetic
resonance imaging (MRI) data for automatic classification of Alzheimer's disease (AD). This …

Background and objective This paper presents an automatic computer-aided diagnosis
(CAD) system based on feature ranking for detection of Alzheimer's disease (AD) using …

High-dimensional classification methods have been a major target of machine learning for
the automatic classification of patients who suffer from Alzheimer's disease (AD). One major …

Pattern classification methods have been widely investigated for analysis of brain images to
assist the diagnosis of Alzheimer's disease (AD) and its early stage such as mild cognitive …

Alzheimer's disease (AD) is the most prevalent form of dementia. Although fewer people,
who suffer from AD are correctly and promptly diagnosed, due to a lack of knowledge of its …

Automatic computer-aided diagnosis (CAD) systems have been widely used in classification
of patients who suffer from Alzheimer's disease (AD). This paper presents an automatic CAD …

Recently, several high dimensional classification methods have been proposed to
automatically discriminate between patients with Alzheimer's disease (AD) or mild cognitive …

Alzheimer's is an acute degenerative disease affecting the elderly population all over the
world. The detection of disease at an early stage in the absence of a large-scale annotated …

Background and objective The cause of the Alzheimer's disease is poorly understood and to
date no treatment to stop or reverse its progression has been discovered. In developed …

Classification is one of the most important tasks in machine learning. Due to feature
redundancy or outliers in samples, using all available data for training a classifier may be …