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...

Descripción completa

Detalles Bibliográficos
Autores principales: 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: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7685476/
https://www.ncbi.nlm.nih.gov/pubmed/33232368
http://dx.doi.org/10.1371/journal.pone.0242759

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7685476/
https://www.ncbi.nlm.nih.gov/pubmed/33232368
http://dx.doi.org/10.1371/journal.pone.0242759

Ejemplares similares