A novel multiple instance learning framework for COVID-19 severity assessment via data augmentation and self-supervised learning

How to fast and accurately assess the severity level of COVID-19 is an essential problem, when millions of people are suffering from the pandemic around the world. Currently, the chest CT is regarded as a popular and informative imaging tool for COVID-19 diagnosis. However, we observe that there are...

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Detalles Bibliográficos
Autores principales: Li, Zekun, Zhao, Wei, Shi, Feng, Qi, Lei, Xie, Xingzhi, Wei, Ying, Ding, Zhongxiang, Gao, Yang, Wu, Shangjie, Liu, Jun, Shi, Yinghuan, Shen, Dinggang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier B.V. 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7857016/
https://www.ncbi.nlm.nih.gov/pubmed/33588121
http://dx.doi.org/10.1016/j.media.2021.101978

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7857016/
https://www.ncbi.nlm.nih.gov/pubmed/33588121
http://dx.doi.org/10.1016/j.media.2021.101978

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