Tracking and predicting COVID-19 radiological trajectory on chest X-rays using deep learning

Radiological findings on chest X-ray (CXR) have shown to be essential for the proper management of COVID-19 patients as the maximum severity over the course of the disease is closely linked to the outcome. As such, evaluation of future severity from current CXR would be highly desirable. We trained...

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Detalles Bibliográficos
Autores principales: Gourdeau, Daniel, Potvin, Olivier, Archambault, Patrick, Chartrand-Lefebvre, Carl, Dieumegarde, Louis, Forghani, Reza, Gagné, Christian, Hains, Alexandre, Hornstein, David, Le, Huy, Lemieux, Simon, Lévesque, Marie-Hélène, Martin, Diego, Rosenbloom, Lorne, Tang, An, Vecchio, Fabrizio, Yang, Issac, Duchesne, Nathalie, Duchesne, Simon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8978501/
https://www.ncbi.nlm.nih.gov/pubmed/35379856
http://dx.doi.org/10.1038/s41598-022-09356-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8978501/
https://www.ncbi.nlm.nih.gov/pubmed/35379856
http://dx.doi.org/10.1038/s41598-022-09356-w

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