X-Ray image-based COVID-19 detection using deep learning
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
https://link.springer.com/content/pdf/10.1007/s11042-023-15389-8.pdf
Reference29 articles.
1. Akter S, Shamrat FMJM, Chakraborty S, Karim A, Azam S (2021) COVID-19 Detection Using Deep Learning Algorithm on Chest X-ray Images. Biology 10(11):1174. https://doi.org/10.3390/biology10111174
2. Ayalew AM, Salau AO, Abeje BT, Enyew B (2022) Detection and Classification of COVID- 19 Disease from X-ray Images Using Convolutional Neural Networks and Histogram of Oriented Gradients. Biomed Signal Process Control, 103530 74:1–11. https://doi.org/10.1016/j.bspc.2022.103530
3. Basu S, Mitra S, Saha N (2020) Deep Learning for Screening COVID-19 using Chest X- Ray Images,” ArXiv200410507 Cs Eess, Accessed: Feb. 28, 2022. [Online]. Available: http://arxiv.org/abs/2004.10507
4. CheAzemin MZ, Hassan R, MohdTamrin MI, Md Ali MA (2020) COVID-19 Deep Learning Prediction Model Using Publicly Available Radiologist-Adjudicated Chest X-Ray Images as Training Data: Preliminary Findings. Int J Biomed Imaging 2020:1–7. https://doi.org/10.1155/2020/8828855
5. Das AK, Ghosh S, Thunder S, Dutta R, Chakrabarti A, “Automatic COVID-19 Detection from X-Ray images using Ensemble Learning with Convolutional Neural Network,” p. 9. https://link.springer.com/article/https://doi.org/10.1007/s10044-021-00970-4
Cited by 20 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. COVID-19 Detection Systems Based on Speech and Image Data Using Deep Learning Algorithms;International Journal of Computational Intelligence Systems;2024-09-10
3. A Joint Classification Method for COVID-19 Lesions Based on Deep Learning and Radiomics;Tomography;2024-09-05
4. A novel deterioration prediction system for mild COVID-19 patients in Korea: a retrospective study;Scientific Reports;2024-08-30
5. A novel approach based on convolutional neural networks ensemble for fire detection;Signal, Image and Video Processing;2024-08-16
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