Robust weakly supervised learning for COVID-19 recognition using multi-center CT images

The world is currently experiencing an ongoing pandemic of an infectious disease named coronavirus disease 2019 (i.e., COVID-19), which is caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Computed Tomography (CT) plays an important role in assessing the severity of the inf...

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Detalles Bibliográficos
Autores principales: Ye, Qinghao, Gao, Yuan, Ding, Weiping, Niu, Zhangming, Wang, Chengjia, Jiang, Yinghui, Wang, Minhao, Fang, Evandro Fei, Menpes-Smith, Wade, Xia, Jun, Yang, Guang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Author(s). Published by Elsevier B.V. 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8667427/
https://www.ncbi.nlm.nih.gov/pubmed/34934410
http://dx.doi.org/10.1016/j.asoc.2021.108291

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8667427/
https://www.ncbi.nlm.nih.gov/pubmed/34934410
http://dx.doi.org/10.1016/j.asoc.2021.108291

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