To search, Click below search items.

 

All Published Papers Search Service

Title

MRI Images Analysis Method for Early Stage Alzheimer’s Disease Detection

Author

Achraf Ben Miled, Taoufik Yeferny, and Amira ben Rabeh

Citation

Vol. 20  No. 9  pp. 214-220

Abstract

.Alzheimer’s disease is a neurogenerative disease that alters memories, cognitive functions leading to death. Early diagnosis of the disease, by detection of the preliminary stage, called Mild Cognitive Impairment (MCI), remains a challenging issue. In this respect, we introduce, in this paper, a powerful classification architecture that implements the pre-trained network AlexNet to automatically extract the most prominent features from Magnetic Resonance Imaging (MRI) images in order to detect the Alzheimer’s disease at the MCI stage. The proposed method is evaluated using a big database from OASIS Database Brain. Various sections of the brain: frontal, sagittal and axial were used. The proposed method achieved 96.83% accuracy by using 420 subjects: 210 Normal and 210 MRI.

Keywords

Alzheimer Disease; Mild Cognitive Impairment; Magnetic Resonance Imaging; Deep Learning.

URL

http://paper.ijcsns.org/07_book/202009/20200926.pdf