COVID-19 detection based on self-supervised transfer learning using chest X-ray images

PURPOSE: Considering several patients screened due to COVID-19 pandemic, computer-aided detection has strong potential in assisting clinical workflow efficiency and reducing the incidence of infections among radiologists and healthcare providers. Since many confirmed COVID-19 cases present radiologi...

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Detalles Bibliográficos
Autores principales: Li, Guang, Togo, Ren, Ogawa, Takahiro, Haseyama, Miki
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2022
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9765379/
https://www.ncbi.nlm.nih.gov/pubmed/36538184
http://dx.doi.org/10.1007/s11548-022-02813-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9765379/
https://www.ncbi.nlm.nih.gov/pubmed/36538184
http://dx.doi.org/10.1007/s11548-022-02813-x

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