Deep-learning algorithms for the interpretation of chest radiographs to aid in the triage of COVID-19 patients: A multicenter retrospective study

The recent medical applications of deep-learning (DL) algorithms have demonstrated their clinical efficacy in improving speed and accuracy of image interpretation. If the DL algorithm achieves a performance equivalent to that achieved by physicians in chest radiography (CR) diagnoses with Coronaviru...

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Publicado en:PLoS One
Main Authors: Jang, Se Bum, Lee, Suk Hee, Lee, Dong Eun, Park, Sin-Youl, Kim, Jong Kun, Cho, Jae Wan, Cho, Jaekyung, Kim, Ki Beom, Park, Byunggeon, Park, Jongmin, Lim, Jae-Kwang
Formato: Artigo
Idioma:Inglês
Publicado: Public Library of Science 2020
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Research Article
Acceso en liña:https://ncbi.nlm.nih.gov/pmc/articles/PMC7685476/
https://ncbi.nlm.nih.gov/pubmed/33232368
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0242759
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