COVID-CXNet: Detecting COVID-19 in frontal chest X-ray images using deep learning

One of the primary clinical observations for screening the novel coronavirus is capturing a chest x-ray image. In most patients, a chest x-ray contains abnormalities, such as consolidation, resulting from COVID-19 viral pneumonia. In this study, research is conducted on efficiently detecting imaging...

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Detalles Bibliográficos
Autores principales: Haghanifar, Arman, Majdabadi, Mahdiyar Molahasani, Choi, Younhee, Deivalakshmi, S., Ko, Seokbum
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8989406/
https://www.ncbi.nlm.nih.gov/pubmed/35431611
http://dx.doi.org/10.1007/s11042-022-12156-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8989406/
https://www.ncbi.nlm.nih.gov/pubmed/35431611
http://dx.doi.org/10.1007/s11042-022-12156-z

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