Exploring the effect of image enhancement techniques on COVID-19 detection using chest X-ray images

Author:

Rahman TawsifurORCID,Khandakar Amith,Qiblawey YazanORCID,Tahir AnasORCID,Kiranyaz Serkan,Abul Kashem Saad BinORCID,Islam Mohammad Tariqul,Al Maadeed Somaya,Zughaier Susu M.ORCID,Khan Muhammad Salman,Chowdhury Muhammad E.H.ORCID

Funder

Qatar University

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications

Reference54 articles.

1. S. A. Harmon, T. H. Sanford, S. Xu, E. B. Turkbey, H. Roth, Z. Xu, et al., "Artificial intelligence for the detection of COVID-19 pneumonia on chest CT using multinational datasets," Nat. Commun., vol. 11 (1), p. 4080(2020/08/14 2020).

2. International Energy Outlook;EIA,2011

3. Evaluating the Accuracy of Different Respiratory Specimens in the Laboratory Diagnosis and Monitoring the Viral Shedding of 2019-nCoV Infections;Yang,2020

4. Thin-section chest CT imaging of coronavirus disease 2019 pneumonia: comparison between patients with mild and severe disease;Yu;Radiology: Cardiothoracic Imaging,2020

5. Coviddeep: Sars-Cov-2/covid-19 Test Based on Wearable Medical Sensors and Efficient Neural Networks;Hassantabar,2020

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