NIA-Network: Towards improving lung CT infection detection for COVID-19 diagnosis

During pandemics (e.g., COVID-19) physicians have to focus on diagnosing and treating patients, which often results in that only a limited amount of labeled CT images is available. Although recent semi-supervised learning algorithms may alleviate the problem of annotation scarcity, limited real-worl...

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Detalles Bibliográficos
Autores principales: Li, Wei, Chen, Jinlin, Chen, Ping, Yu, Lequan, Cui, Xiaohui, Li, Yiwei, Cheng, Fang, Ouyang, Wen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier B.V. 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8153959/
https://www.ncbi.nlm.nih.gov/pubmed/34127245
http://dx.doi.org/10.1016/j.artmed.2021.102082

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8153959/
https://www.ncbi.nlm.nih.gov/pubmed/34127245
http://dx.doi.org/10.1016/j.artmed.2021.102082

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