ML-Net: Multi-Channel Lightweight Network for Detecting Myocardial Infarction-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

ML-Net: Multi-Channel Lightweight Network for Detecting Myocardial Infarction

Published:2021-10 Issue:10 Volume:25 Page:3721-3731
ISSN:2168-2194
Container-title:IEEE Journal of Biomedical and Health Informatics
language:
Short-container-title:IEEE J. Biomed. Health Inform.

Author:

Cao Yangjie^ORCID,Wei Tingting,Zhang Bo,Lin Nan^ORCID,Rodrigues Joel J. P. C.^ORCID,Li Jie,Zhang Di^ORCID

Funder

Collaborative Innovation Major Project of Zhengzhou

FCT/MCTES

Brazilian National Council for Scientific and Technological Development - CNPq

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

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

Link

http://xplorestaging.ieee.org/ielx7/6221020/9559879/09359331.pdf?arnumber=9359331

Cited by 35 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. MT-MV-KDF: A novel Multi-Task Multi-View Knowledge Distillation Framework for myocardial infarction detection and localization;Biomedical Signal Processing and Control;2024-09

2. An adaptive threshold-based semi-supervised learning method for cardiovascular disease detection;Information Sciences;2024-08

3. Myocardial infarction detection method based on the continuous T-wave area feature and multi-lead-fusion deep features;Physiological Measurement;2024-05-01

4. Multi-branch myocardial infarction detection and localization framework based on multi-instance learning and domain knowledge;Physiological Measurement;2024-04-01

5. A Lightweight Method of Myocardial Infarction Detection and Localization From Single Lead ECG Features Using Machine Learning Approach;IEEE Sensors Letters;2024-04

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