Automated assessment of COVID-19 pulmonary disease severity on chest radiographs using convolutional Siamese neural networks

Purpose To develop an automated measure of COVID-19 pulmonary disease severity on chest radiographs (CXRs), for longitudinal disease evaluation and clinical risk stratification. Materials and Methods A convolutional Siamese neural network-based algorithm was trained to output a measure of pulmonary...

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Bibliografski detalji
Izdano u:medRxiv
Glavni autori: Li, Matthew D, Arun, Nishanth Thumbavanam, Gidwani, Mishka, Chang, Ken, Deng, Francis, Little, Brent P, Mendoza, Dexter P, Lang, Min, Lee, Susanna I, O'Shea, Aileen, Parakh, Anushri, Singh, Praveer, Kalpathy-Cramer, Jayashree
Format: Artigo
Jezik:Inglês
Izdano: Cold Spring Harbor Laboratory 2020
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Article
Online pristup:https://ncbi.nlm.nih.gov/pmc/articles/PMC7274251/
https://ncbi.nlm.nih.gov/pubmed/32511570
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1101/2020.05.20.20108159
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