Improvement and Multi-Population Generalizability of a Deep Learning-Based Chest Radiograph Severity Score for COVID-19

Purpose: To improve 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. Materials and Methods: A published convolutional Siamese neural network-based model previously trained on...

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Detalhes bibliográficos
Publicado no:medRxiv
Main Authors: 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: Artigo
Idioma:Inglês
Publicado em: Cold Spring Harbor Laboratory 2020
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Article
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC7523150/
https://ncbi.nlm.nih.gov/pubmed/32995811
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1101/2020.09.15.20195453
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