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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...
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 |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Lippincott Williams & Wilkins
2022
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Materias: | |
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 |
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