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Stefan cel Mare
University of Suceava
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Computer Science
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ROMANIA

Print ISSN: 1582-7445
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WorldCat: 643243560
doi: 10.4316/AECE


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  3/2020 - 7

 HIGH-IMPACT PAPER 

Diagnosis of Alzheimer's Disease from Brain Magnetic Resonance Imaging Images using Deep Learning Algorithms

SUGANTHE, R. C. See more information about SUGANTHE, R. C. on SCOPUS See more information about SUGANTHE, R. C. on IEEExplore See more information about SUGANTHE, R. C. on Web of Science, LATHA, R. S. See more information about  LATHA, R. S. on SCOPUS See more information about  LATHA, R. S. on SCOPUS See more information about LATHA, R. S. on Web of Science, GEETHA, M. See more information about  GEETHA, M. on SCOPUS See more information about  GEETHA, M. on SCOPUS See more information about GEETHA, M. on Web of Science, SREEKANTH, G. R. See more information about SREEKANTH, G. R. on SCOPUS See more information about SREEKANTH, G. R. on SCOPUS See more information about SREEKANTH, G. R. on Web of Science
 
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Download PDF pdficon (1,411 KB) | Citation | Downloads: 1,215 | Views: 2,833

Author keywords
artificial intelligence, artificial neural network, image classification, machine learning, medical diagnosis

References keywords
disease(23), alzheimer(22), neural(7), prediction(6), learning(6), networks(5), diagnosis(5), deep(5), convolutional(5), techniques(4)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2020-08-31
Volume 20, Issue 3, Year 2020, On page(s): 57 - 64
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2020.03007
Web of Science Accession Number: 000564453800007
SCOPUS ID: 85090360650

Abstract
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Alzheimer's disease is one amongst the progressive disorder that cruelly affects the brain cells. It causes the death of nerve cells and tissue loss in brain. It usually tends to start slowly and aggravates overtime. The symptoms of Alzheimer's disease vary from person to person depending on the severity of the unhealthiness. It exhibits behavioral symptoms such as communication impairments, memory loss, taking a longer time to complete usual activities, and change in attitude and behavior. If the problem worsens over time, then it cannot be cured. Hence it should be identified at the earlier stage itself and treat the patient to lead a normal life on their own. Deep learning algorithms exhibit marvelous performance over conventional machine learning algorithms in identifying the complex patterns in the large volumes of high-dimensional medical imaging data. Hence, recently significant attention has been paid to apply deep learning for medical diagnosis. In this research, Deep Convolution Neural Network (DCNN) and VGG-16 inspired CNN (VCNN) models have been built to classify the different stages of Alzheimer's Disease from the Magnetic Resonance Imaging(MRI) images. Experiments are carried out on an ADNI dataset and the results obtained show that the proposed models achieved excellent accuracy.


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References Weight

Web of Science® Citations for all references: 104,542 TCR
SCOPUS® Citations for all references: 93,083 TCR

Web of Science® Average Citations per reference: 3,267 ACR
SCOPUS® Average Citations per reference: 2,909 ACR

TCR = Total Citations for References / ACR = Average Citations per Reference

We introduced in 2010 - for the first time in scientific publishing, the term "References Weight", as a quantitative indication of the quality ... Read more

Citations for references updated on 2024-11-07 03:43 in 175 seconds.




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