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

PURPOSE: 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. METHODS: This single-center retrospective case–control-study consecutively yie...

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Detalles Bibliográficos
Autores principales: Ebong, Una, Büttner, Susanne Martina, Schmidt, Stefan A., Flack, Franziska, Korf, Patrick, Peters, Lynn, Grüner, Beate, Stenger, Steffen, Stamminger, Thomas, Kestler, Hans, Beer, Meinrad, Kloth, Christopher
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10297168/
https://www.ncbi.nlm.nih.gov/pubmed/37371024
http://dx.doi.org/10.3390/diagnostics13122129

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10297168/
https://www.ncbi.nlm.nih.gov/pubmed/37371024
http://dx.doi.org/10.3390/diagnostics13122129

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