Multi-task contrastive learning for automatic CT and X-ray diagnosis of COVID-19

Computed tomography (CT) and X-ray are effective methods for diagnosing COVID-19. Although several studies have demonstrated the potential of deep learning in the automatic diagnosis of COVID-19 using CT and X-ray, the generalization on unseen samples needs to be improved. To tackle this problem, we...

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Detalles Bibliográficos
Autores principales: Li, Jinpeng, Zhao, Gangming, Tao, Yaling, Zhai, Penghua, Chen, Hao, He, Huiguang, Cai, Ting
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Ltd. 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7834978/
https://www.ncbi.nlm.nih.gov/pubmed/33518812
http://dx.doi.org/10.1016/j.patcog.2021.107848

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7834978/
https://www.ncbi.nlm.nih.gov/pubmed/33518812
http://dx.doi.org/10.1016/j.patcog.2021.107848

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