Deep learning-based lesion subtyping and prediction of clinical outcomes in COVID-19 pneumonia using chest CT

The main objective of this work is to develop and evaluate an artificial intelligence system based on deep learning capable of automatically identifying, quantifying, and characterizing COVID-19 pneumonia patterns in order to assess disease severity and predict clinical outcomes, and to compare the...

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Detalles Bibliográficos
Autores principales: Bermejo-Peláez, David, San José Estépar, Raúl, Fernández-Velilla, María, Palacios Miras, Carmelo, Gallardo Madueño, Guillermo, Benegas, Mariana, Gotera Rivera, Carolina, Cuerpo, Sandra, Luengo-Oroz, Miguel, Sellarés, Jacobo, Sánchez, Marcelo, Bastarrika, Gorka, Peces Barba, German, Seijo, Luis M., Ledesma-Carbayo, María J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9172615/
https://www.ncbi.nlm.nih.gov/pubmed/35672437
http://dx.doi.org/10.1038/s41598-022-13298-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9172615/
https://www.ncbi.nlm.nih.gov/pubmed/35672437
http://dx.doi.org/10.1038/s41598-022-13298-8

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