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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Vydáno v:medRxiv
Hlavní autoři: 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
Médium: Artigo
Jazyk:Inglês
Vydáno: Cold Spring Harbor Laboratory 2020
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Article
On-line přístup: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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