Systematic review of artificial intelligence techniques in the detection and classification of COVID-19 medical images in terms of evaluation and benchmarking: Taxonomy analysis, challenges, future solutions and methodological aspects-Reference-Cited by-同舟云学术

Systematic review of artificial intelligence techniques in the detection and classification of COVID-19 medical images in terms of evaluation and benchmarking: Taxonomy analysis, challenges, future solutions and methodological aspects

Published:2020-10 Issue:10 Volume:13 Page:1381-1396
ISSN:1876-0341
Container-title:Journal of Infection and Public Health
language:en
Short-container-title:Journal of Infection and Public Health

Author:

Albahri O.S.,Zaidan A.A.,Albahri A.S.,Zaidan B.B.,Abdulkareem Karrar Hameed,Al-qaysi Z.T.,Alamoodi A.H.^ORCID,Aleesa A.M.,Chyad M.A.,Alesa R.M.,Kem L.C.,Lakulu Muhammad Modi,Ibrahim A.B.,Rashid Nazre Abdul

Funder

UPSI Rising Star Grant 2019

Publisher

Elsevier BV

Subject

Infectious Diseases,Public Health, Environmental and Occupational Health,General Medicine

Reference104 articles.

1. Coronavirus (COVID-19) outbreak: what the department of radiology should know;Kooraki;J Am Coll Radiol,2020

2. Unique epidemiological and clinical features of the emerging 2019 novel coronavirus pneumonia (COVID‐19) implicate special control measures;Wang;J Med Virol,2020

3. Correlation of chest CT and RT-PCR testing in coronavirus disease 2019 (COVID-19) in China: a report of 1014 cases;Ai;Radiology,2020

4. Sensitivity of chest CT for COVID-19: comparison to RT-PCR;Fang;Radiology,2020

5. Antibodies in infants born to mothers with COVID-19 pneumonia;Zeng;JAMA,2020

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