Diagnosis of COVID-19 Pneumonia via a Novel Deep Learning Architecture-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Diagnosis of COVID-19 Pneumonia via a Novel Deep Learning Architecture

Published:2022-03-31 Issue:2 Volume:37 Page:330-343
ISSN:1000-9000
Container-title:Journal of Computer Science and Technology
language:en
Short-container-title:J. Comput. Sci. Technol.

Author:

Zhang Xin,Lu Siyuan,Wang Shui-Hua,Yu Xiang,Wang Su-Jing,Yao Lun,Pan Yi,Zhang Yu-Dong

Publisher

Springer Science and Business Media LLC

Subject

Computational Theory and Mathematics,Computer Science Applications,Hardware and Architecture,Theoretical Computer Science,Software

Link

https://link.springer.com/content/pdf/10.1007/s11390-020-0679-8.pdf

Reference35 articles.

1. Wang C, Horby P W, Hayden F G, Gao G F. A novel coronavirus outbreak of global health concern. The Lancet, 2020, 395(10223): 470-473. DOI: https://doi.org/10.1016/S0140-6736(20)30185-9.

2. Wang D, Hu B, Hu C et al. Clinical characteristics of 138 hospitalized patients with 2019 novel coronavirus-infected pneumonia in Wuhan, China. JAMA, 2020, 323(11): 1061-1069. DOI: https://doi.org/10.1001/jama.2020.1585.

3. Lu Z, Lu S Y, Liu G et al. A pathological brain detection system based on radial basis function neural network. Journal of Medical Imaging and Health Informatics, 2016, 6(5): 1218-1222. DOI: https://doi.org/10.1166/jmihi.2016.1901.

4. Yang J, Qiu X, Shi J P et al. A pathological brain detection system based on kernel based ELM. Multimedia Tools and Applications, 2018, 77(3): 3715-3728. DOI: https://doi.org/10.1007/s11042-016-3559-z.

5. Lu S, Qiu X, Shi J P et al. A pathological brain detection system based on extreme learning machine optimized by bat algorithm. CNS & Neurological Disorders-Drug Targets, 2017, 16(1): 23-29. DOI: https://doi.org/10.2174/1871527315666161019153259.

Cited by 56 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 systematic literature review on machine learning and deep learning-based covid-19 detection frameworks using X-ray Images;Applied Soft Computing;2024-11

2. A meta-learning based method for few-shot pneumonia identification using chest X-ray images;Biomedical Signal Processing and Control;2024-09

3. Removing Adversarial Noise in X-ray Images via Total Variation Minimization and Patch-Based Regularization for Robust Deep Learning-based Diagnosis;Journal of Imaging Informatics in Medicine;2024-06-17

4. DeepSeverity: Detection Different Stages of COVID-19 Disease with Combined Convolutional and Bayesian-BiLSTM Models;2024-06-03

5. PixNet for early diagnosis of COVID-19 using CT images;Multimedia Tools and Applications;2024-04-30

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