Comparison of AI with and without hand-crafted features to classify Alzheimer's disease in different languages-Reference-Cited by-同舟云学术

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Comparison of AI with and without hand-crafted features to classify Alzheimer's disease in different languages

Published:2024-09 Issue: Volume:180 Page:108950
ISSN:0010-4825
Container-title:Computers in Biology and Medicine
language:en
Short-container-title:Computers in Biology and Medicine

Author:

Kim Tong Min,Son Junhyeok^ORCID,Chun Ji-Won,Lee Youngrong,Kim Dai-Jin,Choi In-Young,Ko Taehoon^ORCID,Choi Seungjin^ORCID

Publisher

Elsevier BV

Reference50 articles.

1. Multi-layered transcriptomic analysis reveals a pivotal role of FMR1 and other developmental genes in Alzheimer's disease-associated brain ceRNA network;Piergiorge;Comput. Biol. Med.,2023

2. Alzheimers disease: a brief review;McGirr;J. Exp. Neurol.,2020

3. Vulnerable neural systems and the borderland of brain aging and neurodegeneration;Jagust;Neuron,2013

4. A new weakly supervised deep neural network for recognizing Alzheimer's disease;Zhang;Comput. Biol. Med.,2023

5. Deep learning for Alzheimer's disease diagnosis: a survey;Khojaste-Sarakhsi;Artif. Intell. Med.,2022

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A HybridOpt approach for early Alzheimer’s Disease diagnostics with Ant Lion Optimizer (ALO);Alexandria Engineering Journal;2024-12

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