Using Artificial Intelligence for Automatic Segmentation of CT Lung Images in Acute Respiratory Distress Syndrome

Knowledge of gas volume, tissue mass and recruitability measured by the quantitative CT scan analysis (CT-qa) is important when setting the mechanical ventilation in acute respiratory distress syndrome (ARDS). Yet, the manual segmentation of the lung requires a considerable workload. Our goal was to...

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Detalles Bibliográficos
Autores principales: Herrmann, Peter, Busana, Mattia, Cressoni, Massimo, Lotz, Joachim, Moerer, Onnen, Saager, Leif, Meissner, Konrad, Quintel, Michael, Gattinoni, Luciano
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Physiology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8476971/
https://www.ncbi.nlm.nih.gov/pubmed/34594233
http://dx.doi.org/10.3389/fphys.2021.676118

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8476971/
https://www.ncbi.nlm.nih.gov/pubmed/34594233
http://dx.doi.org/10.3389/fphys.2021.676118

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