Automated Quantification of CT Patterns Associated with COVID-19 from Chest CT

PURPOSE: To present a method that automatically segments and quantifies abnormal CT patterns commonly present in coronavirus disease 2019 (COVID-19), namely ground glass opacities and consolidations. MATERIALS AND METHODS: In this retrospective study, the proposed method takes as input a non-contras...

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Detalles Bibliográficos
Autores principales: Chaganti, Shikha, Grenier, Philippe, Balachandran, Abishek, Chabin, Guillaume, Cohen, Stuart, Flohr, Thomas, Georgescu, Bogdan, Grbic, Sasa, Liu, Siqi, Mellot, François, Murray, Nicolas, Nicolaou, Savvas, Parker, William, Re, Thomas, Sanelli, Pina, Sauter, Alexander W., Xu, Zhoubing, Yoo, Youngjin, Ziebandt, Valentin, Comaniciu, Dorin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Radiological Society of North America 2020
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7392373/
https://www.ncbi.nlm.nih.gov/pubmed/33928255
http://dx.doi.org/10.1148/ryai.2020200048

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7392373/
https://www.ncbi.nlm.nih.gov/pubmed/33928255
http://dx.doi.org/10.1148/ryai.2020200048

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