Deep supervised learning using self-adaptive auxiliary loss for COVID-19 diagnosis from imbalanced CT images

The outbreak and rapid spread of coronavirus disease 2019 (COVID-19) has had a huge impact on the lives and safety of people around the world. Chest CT is considered an effective tool for the diagnosis and follow-up of COVID-19. For faster examination, automatic COVID-19 diagnostic techniques using...

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Detalles Bibliográficos
Autores principales: Hu, Kai, Huang, Yingjie, Huang, Wei, Tan, Hui, Chen, Zhineng, Zhong, Zheng, Li, Xuanya, Zhang, Yuan, Gao, Xieping
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier B.V. 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8180474/
https://www.ncbi.nlm.nih.gov/pubmed/34121811
http://dx.doi.org/10.1016/j.neucom.2021.06.012

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8180474/
https://www.ncbi.nlm.nih.gov/pubmed/34121811
http://dx.doi.org/10.1016/j.neucom.2021.06.012

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