Smart Insole-Based Classification of Alzheimer’s Disease Using Few-Shot Learning Facilitated by Multi-Scale Metric Learning-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Smart Insole-Based Classification of Alzheimer’s Disease Using Few-Shot Learning Facilitated by Multi-Scale Metric Learning

Published:2024-05 Issue:2 Volume:70 Page:4699-4708
ISSN:0098-3063
Container-title:IEEE Transactions on Consumer Electronics
language:
Short-container-title:IEEE Trans. Consumer Electron.

Author:

Jeon Younghoon¹,Kang Jaeyong¹^ORCID,Kim Byeong C.²,Ho Lee Kun³^ORCID,Song Jong-In⁴^ORCID,Gwak Jeonghwan¹^ORCID

Affiliation:

1. Department of Software, Korea National University of Transportation, Chungju, South Korea.

2. Department of Neurology, Chonnam National University Medical School, Gwangju, South Korea.

3. Department of Biomedical Science, Chosun University, Gwangju, South Korea.

4. School of Electrical Engineering and Computer Science, Gwangju Institute of Science and Technology, Gwangju, South Korea.

Funder

Brain Research Program through the National Research Foundation of Korea funded by the Ministry of Science, ICT and Future Planning

KBRI Basic Research Program through Korea Brain Research Institute funded by the Ministry of Science and ICT

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/30/10659242/10495348.pdf?arnumber=10495348

Reference28 articles.

1. Research criteria for the diagnosis of Alzheimer's disease: revising the NINCDS–ADRDA criteria

2. Introduction to the recommendations from the National Institute on Aging‐Alzheimer's Association workgroups on diagnostic guidelines for Alzheimer's disease

3. Development and validation of an interpretable deep learning framework for Alzheimer’s disease classification

4. Fine-grained leukocyte classification with deep residual learning for microscopic images

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3