Artificial intelligence approaches on X-ray-oriented images process for early detection of COVID-19

Artificial intelligence approaches on X-ray-oriented images process for early detection of COVID-19

Background: COVID-19 is a global public health problem that is crucially important to be diagnosed in the early stages. This study aimed to investigate the use of artificial intelligence (AI) to process X-ray-oriented images to diagnose COVID-19 disease. Methods: A systematic search was conducted in...

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Bibliographic Details
Main Authors: Sorayya Rezayi, Marjan Ghazisaeedi, Sharareh Rostam Niakan Kalhori, Soheila Saeedi
Format: Article
Language:English
Published: Wolters Kluwer Medknow Publications 2022-01-01
Series:Journal of Medical Signals and Sensors
Subjects:
2019-ncov disease
artificial intelligence
computed tomography
deep learning
image processing
x-ray images
Online Access:http://www.jmssjournal.net/article.asp?issn=2228-7477;year=2022;volume=12;issue=3;spage=233;epage=253;aulast=Rezayi

Internet

http://www.jmssjournal.net/article.asp?issn=2228-7477;year=2022;volume=12;issue=3;spage=233;epage=253;aulast=Rezayi

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