Diagnosis of Alzheimer's disease by three-dimensional convolutional neural network using unsupervised feature learning method
Joint Authors
Salim, Abd al-Badi M.
Sulayman, Sarah A.
al-Dahshan, al-Sayyid A.
Source
International Journal of Intelligent Computing and Information Sciences
Issue
Vol. 22, Issue 1 (28 Feb. 2022), pp.1-15, 15 p.
Publisher
Ain Shams University Faculty of Computer and Information Sciences
Publication Date
2022-02-28
Country of Publication
Egypt
No. of Pages
15
Main Subjects
Information Technology and Computer Science
Topics
Abstract EN
The rise of deep learning in the past two decades has prompted research into solutions to help improve Alzheimer’s diagnosis based on neuroimaging data.
as such, a wide variety of different techniques have been used, but a clear turn towards the use of convolutional neural networks (CNN) has been observed in the last decade.
to effectively predicate Alzheimer's disease (AD), this paper proposed a two stage method.
the first stage involves learning the best representation of the training data using an improved sparse autoencoder (SAE), an unsupervised neural network.
the second stage involves using a 3D-convolutional neural network (3D-CNN) to differentiate between the health status and diseased status based on the learned records and MRI scan of the brain.
the SAE was optimized so as to train an efficient model.
we report on experiments using the ADNI data set involving 897 historical scans.
we demonstrate that using 3D convolutional neural networks with sparse auto encoder outperform several other classifiers stated in the literature.
American Psychological Association (APA)
Sulayman, Sarah A.& al-Dahshan, al-Sayyid A.& Salim, Abd al-Badi M.. 2022. Diagnosis of Alzheimer's disease by three-dimensional convolutional neural network using unsupervised feature learning method. International Journal of Intelligent Computing and Information Sciences،Vol. 22, no. 1, pp.1-15.
https://search.emarefa.net/detail/BIM-1334980
Modern Language Association (MLA)
Sulayman, Sarah A.…[et al.]. Diagnosis of Alzheimer's disease by three-dimensional convolutional neural network using unsupervised feature learning method. International Journal of Intelligent Computing and Information Sciences Vol. 22, no. 1 (Feb. 2022), pp.1-15.
https://search.emarefa.net/detail/BIM-1334980
American Medical Association (AMA)
Sulayman, Sarah A.& al-Dahshan, al-Sayyid A.& Salim, Abd al-Badi M.. Diagnosis of Alzheimer's disease by three-dimensional convolutional neural network using unsupervised feature learning method. International Journal of Intelligent Computing and Information Sciences. 2022. Vol. 22, no. 1, pp.1-15.
https://search.emarefa.net/detail/BIM-1334980
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 12-15
Record ID
BIM-1334980