Multi-task vision transformer using low-level chest X-ray feature corpus for COVID-19 diagnosis and severity quantification

Developing a robust algorithm to diagnose and quantify the severity of the novel coronavirus disease 2019 (COVID-19) using Chest X-ray (CXR) requires a large number of well-curated COVID-19 datasets, which is difficult to collect under the global COVID-19 pandemic. On the other hand, CXR data with o...

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Detalles Bibliográficos
Autores principales: Park, Sangjoon, Kim, Gwanghyun, Oh, Yujin, Seo, Joon Beom, Lee, Sang Min, Kim, Jin Hwan, Moon, Sungjun, Lim, Jae-Kwang, Ye, Jong Chul
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier B.V. 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8566090/
https://www.ncbi.nlm.nih.gov/pubmed/34814058
http://dx.doi.org/10.1016/j.media.2021.102299

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8566090/
https://www.ncbi.nlm.nih.gov/pubmed/34814058
http://dx.doi.org/10.1016/j.media.2021.102299

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