Automated diagnosis of COVID-19 with limited posteroanterior chest X-ray images using fine-tuned deep neural networks
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence
Link
https://link.springer.com/content/pdf/10.1007/s10489-020-01900-3.pdf
Reference63 articles.
1. Afshar P, Heidarian S, Naderkhani F, Oikonomou A, Plataniotis KN, Mohammadi A (2020) Covid-caps: a capsule network-based framework for identification of covid-19 cases from x-ray images. arXiv:2004.02696
2. Allen JN, Davis WB (1994) Eosinophilic lung diseases. Am J Respir Crit Care Med 150 (5):1423–1438
3. Apostolopoulos ID, Mpesiana TA (2020) Covid-19: automatic detection from x-ray images utilizing transfer learning with convolutional neural networks. Phys Eng Sci Med 1:635–640. https://doi.org/10.1007/s13246-020-00865-4
4. Bukhari SUK, Bukhari SSK, Syed A, SHAH SSH (2020) The diagnostic evaluation of convolutional neural network (cnn) for the assessment of chest x-ray of patients infected with covid-19. medRxiv
5. Chen Q, Montesinos P, Sun QS, Heng PA, et al. (2010) Adaptive total variation denoising based on difference curvature. Image Vis Comput 28(3):298–306
Cited by 144 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. Iterative enhancement fusion-based cascaded model for detection and localization of multiple disease from CXR-Images;Expert Systems with Applications;2024-12
2. Enhancing classification of lung diseases by optimizing training hyperparameters of the deep learning network;Multimedia Tools and Applications;2024-09-09
3. A meta-learning based method for few-shot pneumonia identification using chest X-ray images;Biomedical Signal Processing and Control;2024-09
4. Resolute neuronet: deep learning-based segmentation and classification COVID-19 using chest X-Ray images;International Journal of System Assurance Engineering and Management;2024-08-13
5. COVID-19 and Pneumonia detection and web deployment from CT scan and X-ray images using deep learning;PLOS ONE;2024-07-08
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