Interobserver Agreement in the Analysis of Different Radiological Classifications of COVID-19 on Computed Tomography

Interobserver Agreement in the Analysis of Different Radiological Classifications of COVID-19 on Computed Tomography

Introduction: Computed tomography (CT) has approximately 98% sensitivity for Coronavirus disease-2019 (COVID-19). Various algorithms were designed using CT images. However, the interobserver agreement of different radiological classifications of COVID-19 is not yet known. Thus, this study aimed to i...

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Bibliographic Details
Main Authors: Adnan ÖZDEMİR, Sevda YILMAZ, Özlem ÖZLÜK EROL, Sedat KAYGUSUZ, Alper GÖNCÜOĞLU, Selmin Perihan KÖMÜRCÜ ERKMEN, İrfan KARAHAN, Birgül KAÇMAZ, Serdar GÜL
Format: Article
Language:Turkish
Published: Galenos Yayinevi 2021-12-01
Series:Mediterranean Journal of Infection, Microbes and Antimicrobials
Subjects:
covid-19
diagnosis
tomography
interobserver variability
Online Access:http://mjima.org/abstract.php?id=266

Internet

http://mjima.org/abstract.php?id=266

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