Radiologist-Level Two Novel and Robust Automated Computer-Aided Prediction Models for Early Detection of COVID-19 Infection from Chest X-ray Images
Author:
Publisher
Springer Science and Business Media LLC
Subject
Multidisciplinary
Link
https://link.springer.com/content/pdf/10.1007/s13369-021-05880-5.pdf
Reference63 articles.
1. https://www.who.int/docs/default-source/coronaviruse/situation-reports/20200810-covid-19-sitrep-203.pdf?sfvrsn=aa050308_4
2. Nour, M.; Cömert, Z.; Polat, K.: A novel medical diagnosis model for COVID-19 infection detection based on deep features and Bayesian optimization. Appl. Soft Comput. 97, 106580 (2020)
3. Karar, M.E.; Hemdan, E.E.D.; Shouman, M.A.: Cascaded deep learning classifiers for computer-aided diagnosis of COVID-19 and pneumonia diseases in X-ray scans. Complex Intell. Syst. 7(1), 235–247 (2021)
4. Shankar, K.; Perumal, E.: A novel hand-crafted with deep learning features based fusion model for COVID-19 diagnosis and classification using chest X-ray images. Complex Intell. Syst. 7(3), 1277–1293 (2021)
5. Gianchandani, N.; Jaiswal, A.; Singh, D.; Kumar, V.; Kaur, M.: Rapid COVID-19 diagnosis using ensemble deep transfer learning models from chest radiographic images. J. Ambient. Intell. Human. Comput. (2020). https://doi.org/10.1007/s12652-020-02669-6
Cited by 26 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. Differential epitope prediction across diverse circulating variants of SARS-COV-2 in Brazil;Computational Biology and Chemistry;2024-10
2. MA-LSTMNet: AN EFFICIENT MULTISCALE ATTENTION LSTMNet-BASED HEART DISEASE PREDICTION FRAMEWORK WITH IoT DEVICES INCORPORATING HYBRID RAT SWARM-RED DEER ALGORITHM;Biomedical Engineering: Applications, Basis and Communications;2024-08
3. Model based on the automated AI-driven CT quantification is effective for the diagnosis of refractory Mycoplasma pneumoniae pneumonia;Scientific Reports;2024-07-13
4. Classification of Diabetic Retinopathy Severity Using Deep Learning Techniques on Retinal Images;Cybernetics and Systems;2024-07-13
5. Detection and identification drones using long short-term memory and Bayesian optimization;Multimedia Tools and Applications;2024-06-13
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