In:
Computer Engineering and Applications Journal, Department of Computer Engineering, Faculty of Computer Science, Universitas Sriwijaya, Vol. 12, No. 1 ( 2023-02-01), p. 11-30
Kurzfassung:
Covid-19 is a respiratory tract disease caused by the Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2). The Covid-19 disease was first reported in Wuhan, China, in December 2019. The SARS-CoV-2 virus is primarily transmitted through human contact, and the World Health Organization has proclaimed a global pandemic (WHO). Symptoms of Covid-19 can range from asymptomatic to mild and severe. One way to diagnose Covid-19 disease can be done by examining lung abnormalities on the results of a Computed Tomography Scan (CT-Scan) of the lungs. However, determining the diagnostic results requires high accuracy and a long time. For this reason, an automated system is needed to make it easier for medical personnel to diagnose Covid-19 disease quickly and accurately. One of the automated systems with computer assistance in detecting abnormalities in CT-Scan images of the lungs is to perform pattern recognition
Materialart:
Online-Ressource
ISSN:
2252-5459
,
2252-4274
DOI:
10.18495/comengapp.v12i1
DOI:
10.18495/comengapp.v12i1.425
Sprache:
Unbekannt
Verlag:
Department of Computer Engineering, Faculty of Computer Science, Universitas Sriwijaya
Publikationsdatum:
2023
ZDB Id:
2763350-0
