Prediction of Patient Management in COVID-19 Using Deep Learning-Based Fully Automated Extraction of Cardiothoracic CT Metrics and Laboratory Findings

OBJECTIVE: To extract pulmonary and cardiovascular metrics from chest CTs of patients with coronavirus disease 2019 (COVID-19) using a fully automated deep learning-based approach and assess their potential to predict patient management. MATERIALS AND METHODS: All initial chest CTs of patients who t...

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Detalles Bibliográficos
Autores principales: Weikert, Thomas, Rapaka, Saikiran, Grbic, Sasa, Re, Thomas, Chaganti, Shikha, Winkel, David J., Anastasopoulos, Constantin, Niemann, Tilo, Wiggli, Benedikt J., Bremerich, Jens, Twerenbold, Raphael, Sommer, Gregor, Comaniciu, Dorin, Sauter, Alexander W.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Korean Society of Radiology 2021
Materias:
Thoracic Imaging
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8154782/
https://www.ncbi.nlm.nih.gov/pubmed/33686818
http://dx.doi.org/10.3348/kjr.2020.0994

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8154782/
https://www.ncbi.nlm.nih.gov/pubmed/33686818
http://dx.doi.org/10.3348/kjr.2020.0994

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