Quantification of COVID-19 Opacities on Chest CT – Evaluation of a Fully Automatic AI-approach to Noninvasively Differentiate Critical Versus Noncritical Patients-Reference-Cited by-同舟云学术

Quantification of COVID-19 Opacities on Chest CT – Evaluation of a Fully Automatic AI-approach to Noninvasively Differentiate Critical Versus Noncritical Patients

Published:2021-08 Issue:8 Volume:28 Page:1048-1057
ISSN:1076-6332
Container-title:Academic Radiology
language:en
Short-container-title:Academic Radiology

Author:

Mader Christoph^ORCID,Bernatz Simon,Michalik Sabine,Koch Vitali,Martin Simon S.,Mahmoudi Scherwin,Basten Lajos,Grünewald Leon D.,Bucher Andreas,Albrecht Moritz H.,Vogl Thomas J.,Booz Christian

Publisher

Elsevier BV

Subject

Radiology Nuclear Medicine and imaging

Reference34 articles.

1. Coronavirus disease 2019 (COVID-19): a perspective from china;Zu;Radiology,2020

2. WHO coronavirus disease (COVID-19) dashboard,2021

3. Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China;Huang;Lancet,2020

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

5. CO-RADS—a categorical CT assessment scheme for patients suspected of having COVID-19: definition and evaluation;Prokop;Radiology,2020

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