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 retrospective case–control-study con...

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Detalhes bibliográficos

Principais autores:	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
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2023-06-01
coleção:	Diagnostics
Assuntos:	COVID-19 pneumonia CT automated segmentation and quantification
Acesso em linha:	https://www.mdpi.com/2075-4418/13/12/2129
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