Multi-population generalizability of a deep learning-based chest radiograph severity score for COVID-19

To tune and test the generalizability of a deep learning-based model for assessment of COVID-19 lung disease severity on chest radiographs (CXRs) from different patient populations. A published convolutional Siamese neural network-based model previously trained on hospitalized patients with COVID-19...

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Detalles Bibliográficos
Autores principales: Li, Matthew D., Arun, Nishanth T., Aggarwal, Mehak, Gupta, Sharut, Singh, Praveer, Little, Brent P., Mendoza, Dexter P., Corradi, Gustavo C.A., Takahashi, Marcelo S., Ferraciolli, Suely F., Succi, Marc D., Lang, Min, Bizzo, Bernardo C., Dayan, Ittai, Kitamura, Felipe C., Kalpathy-Cramer, Jayashree
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9302282/
https://www.ncbi.nlm.nih.gov/pubmed/35866818
http://dx.doi.org/10.1097/MD.0000000000029587

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9302282/
https://www.ncbi.nlm.nih.gov/pubmed/35866818
http://dx.doi.org/10.1097/MD.0000000000029587

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