Current limitations to identify covid-19 using artificial intelligence with chest x-ray imaging (part ii). The shortcut learning problem
Author:
Publisher
Springer Science and Business Media LLC
Subject
Biomedical Engineering,Applied Microbiology and Biotechnology,Bioengineering,Biotechnology
Link
https://link.springer.com/content/pdf/10.1007/s12553-021-00609-8.pdf
Reference94 articles.
1. Lai C-C, Shih T-P, Ko W-C, Tang H-J, Hsueh P-R. Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and coronavirus disease-2019 (COVID-19): The epidemic and the challenges. Int J Antimicrob Agents. 2020;55(3): 105924. https://doi.org/10.1016/j.ijantimicag.2020.105924.
2. Narayan N, Das N, Kumar, Kaur M, Kumar V, Singh D. “Automated Deep Transfer Learning-Based Approach for Detection of COVID-19 Infection in Chest X-rays”. IRBM 2020. https://doi.org/10.1016/j.irbm.2020.07.001.
3. Liu R, et al. Positive rate of RT-PCR detection of SARS-CoV-2 infection in 4880 cases from one hospital in Wuhan, China, from Jan to Feb 2020. Clin Chim Acta. 2020;505:172–5. https://doi.org/10.1016/j.cca.2020.03.009.
4. Ai T, et al. Correlation of chest CT and RT-PCR testing in coronavirus disease 2019 (COVID-19) in China: a report of 1014 cases. Radiology. 2020;296(2):E32–40.
5. Kucirka LM, Lauer SA, Laeyendecker O, Boon D, Lessler J. Variation in False-Negative Rate of Reverse Transcriptase Polymerase Chain Reaction-Based SARS-CoV-2 Tests by Time Since Exposure. Ann Intern Med. 2020;173(4):262–7. https://doi.org/10.7326/M20-1495.
Cited by 12 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. Multi-task supervised contrastive learning for chest X-ray diagnosis: A two-stage hierarchical classification framework for COVID-19 diagnosis;Applied Soft Computing;2024-04
2. Clinical, functional and imaging parallels in the objective status of patients after community-acquired COVID-19-associated pneumonia;Infusion & Chemotherapy;2024-03-27
3. Identification of Sars-Cov-2 related volatile organic compounds from face masks;Microchemical Journal;2024-02
4. Improving deep neural network generalization and robustness to background bias via layer-wise relevance propagation optimization;Nature Communications;2024-01-04
5. Challenges and constraints of using radiology images to diagnose COVID-19;Diagnosis and Analysis of COVID-19 Using Artificial Intelligence and Machine Learning-based Techniques;2024
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