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...

Deskribapen osoa

Gorde:
Xehetasun bibliografikoak
Argitaratua izan da:medRxiv
Egile Nagusiak: 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
Formatua: Artigo
Hizkuntza:Inglês
Argitaratua: Cold Spring Harbor Laboratory 2020
Gaiak:
Article
Sarrera elektronikoa: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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