Quantitative Evaluation of COVID-19 Pneumonia CT Using AI Analysis—Feasibility and Differentiation from Other Common Pneumonia Forms

Quantitative Evaluation of COVID-19 Pneumonia CT Using AI Analysis—Feasibility and Differentiation from Other Common Pneumonia Forms

<b>PURPOSE:</b> To implement the technical feasibility of an AI-based software prototype optimized for the detection of COVID-19 pneumonia in CT datasets of the lung and the differentiation between other etiologies of pneumonia. <b>METHODS:</b> This single-center retrospectiv...

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Bibliographic Details
Main Authors: Una Ebong, Susanne Martina Büttner, Stefan A. Schmidt, Franziska Flack, Patrick Korf, Lynn Peters, Beate Grüner, Steffen Stenger, Thomas Stamminger, Hans Kestler, Meinrad Beer, Christopher Kloth
Format: Article
Language:English
Published: MDPI AG 2023-06-01
Series:Diagnostics
Subjects:
COVID-19 pneumonia
CT
automated segmentation and quantification
Online Access:https://www.mdpi.com/2075-4418/13/12/2129

Internet

https://www.mdpi.com/2075-4418/13/12/2129

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