Deep-Learning-Based Diagnosis and Prognosis of Alzheimer’s Disease: A Comprehensive Review-Reference-Cited by-同舟云学术

Deep-Learning-Based Diagnosis and Prognosis of Alzheimer’s Disease: A Comprehensive Review

Published:2023-09 Issue:3 Volume:15 Page:1123-1138
ISSN:2379-8920
Container-title:IEEE Transactions on Cognitive and Developmental Systems
language:
Short-container-title:IEEE Trans. Cogn. Dev. Syst.

Author:

Sharma Rahul¹^ORCID,Goel Tripti¹^ORCID,Tanveer M.²^ORCID,Lin C. T.³,Murugan R.¹^ORCID

Affiliation:

1. Biomedical Imaging Laboratory, National Institute of Technology Silchar, Silchar, India

2. Department of Mathematics, Indian Institute of Technology Indore, Indore, India

3. Centre for Artificial Intelligence, School of Computer Science, FEIT, University of Technology Sydney, Sydney, NSW, Australia

Funder

National Supercomputing Mission under DST and Miety, Government of India

Core Research Grant to the Science and Engineering Research Board

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Software

Link

http://xplorestaging.ieee.org/ielx7/7274989/10242607/10064117.pdf?arnumber=10064117

Reference140 articles.

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3. 3D convolutional networks based automatic diagnosis of Alzheimer’s disease using structural MRI;yu;Proc IEEE 12th Int Congr Image Signal Process Biomed Eng Inf (CISP-BMEI),2019

4. Multimodal Fusion-Based Deep Learning Network for Effective Diagnosis of Alzheimer’s Disease

5. Classification of Alzheimer’s Disease Based on Eight-Layer Convolutional Neural Network with Leaky Rectified Linear Unit and Max Pooling

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