SVFR: A novel slice-to-volume feature representation framework using deep neural networks and a clustering model for the diagnosis of Alzheimer's disease-Reference-Cited by-同舟云学术

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SVFR: A novel slice-to-volume feature representation framework using deep neural networks and a clustering model for the diagnosis of Alzheimer's disease

Published:2024-01 Issue:1 Volume:10 Page:e23008
ISSN:2405-8440
Container-title:Heliyon
language:en
Short-container-title:Heliyon

Author:

Wang Rubing,Gao Linlin,Zhang Xiaoling,Han Jinming^ORCID

Publisher

Elsevier BV

Subject

Multidisciplinary

Reference39 articles.

1. World Alzheimer's Report 2018. Alzheimer's Disease Internations: World Alzheimer Report;Christina,2018

2. World Alzheimer Report 2019: Attitudes to Dementia,2019

3. A hierarchical feature and sample selection framework and its application for Alzheimer's disease diagnosis;An;Sci. Rep.,2017

4. Dementia in 2014: towards early diagnosis in Alzheimer disease;Nordberg;Nat. Rev. Neurol.,2015

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1. Decoding cognitive health using machine learning: A comprehensive evaluation for diagnosis of significant memory concern;WIREs Data Mining and Knowledge Discovery;2024-05-28

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