An Attention-Based 3D CNN With Multi-Scale Integration Block for Alzheimer's Disease Classification-Reference-Cited by-同舟云学术

An Attention-Based 3D CNN With Multi-Scale Integration Block for Alzheimer's Disease Classification

Published:2022-11 Issue:11 Volume:26 Page:5665-5673
ISSN:2168-2194
Container-title:IEEE Journal of Biomedical and Health Informatics
language:
Short-container-title:IEEE J. Biomed. Health Inform.

Author:

Wu Yuanchen¹,Zhou Yuan²,Zeng Weiming¹^ORCID,Qian Qian³,Song Miao¹^ORCID

Affiliation:

1. College of Information Engineering, Shanghai Maritime University, Shanghai, China

2. Logistics Engineering College, Shanghai Maritime University, Shanghai, China

3. Yunnan Key Laboratory of Computer Technology Applications, Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming, China

Funder

National Natural Science Foundation of China

Yunnan Fundamental Research Projects

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Health Information Management,Electrical and Electronic Engineering,Computer Science Applications,Health Informatics

Link

http://xplorestaging.ieee.org/ielx7/6221020/9945616/09852280.pdf?arnumber=9852280

Reference43 articles.

1. The Cingulate Cortex and Human Memory Process

2. Rate of medial temporal lobe atrophy in typical aging and Alzheimer's disease

3. Deep 3D Convolutional Neural Network Architectures for Alzheimer’s Disease Diagnosis

4. An efficient 3D deep convolutional network for Alzheimer's disease diagnosis using MR images

5. Convolutional neural networks for classification of Alzheimer's disease: Overview and reproducible evaluation

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