Purpose: Early diagnosis or detection of Alzheimer's disease (AD) from the normal elder
control (NC) is very important. However, the computer-aided diagnosis (CAD) was not …

In this paper we proposed a novel classification system to distinguish among elderly
subjects with Alzheimer's disease (AD), mild cognitive impairment (MCI), and normal …

The learning techniques have a particular need especially for the detection of invisible brain
diseases. Learningbased methods rely on MRI medical images to reconstruct a solution for …

Computer-Aided Diagnosis (CAD) represents a relevant instrument to automatically classify
between patients with and without Alzheimer's Disease (AD) using several actual imaging …

This research paper presents a framework for classifying Magnetic Resonance Imaging
(MRI) images for Dementia. Dementia, an age-related cognitive decline is indicated by …

Alzheimer's disease (AD) is a degenerative brain disease and the most common cause of
dementia. In recent years, with the widespread application of artificial intelligence in the …

We present a discrete compactness (DC) index, together with a classification scheme, based
both on the size and shape features extracted from brain volumes, to determine different …

Reported studies describing normal and abnormal aging based on anatomical MRI analysis
do not consider morphological brain changes, but only volumetric measures to distinguish …

ABSTRACT The robustness of Convolutional Neural Network (CNN) architecture as the
innovative technology has led to the surge of research adoption for Alzheimer's disease …

With the rapid development of smart devices and ever-increasing popularity of social media
websites such as Flickr, YouTube, Twitter and Facebook, we have witnessed a huge …