Analysis of CT scan images for COVID-19 pneumonia based on a deep ensemble framework with DenseNet, Swin transformer, and RegNet

COVID-19 has caused enormous challenges to global economy and public health. The identification of patients with the COVID-19 infection by CT scan images helps prevent its pandemic. Manual screening COVID-19-related CT images spends a lot of time and resources. Artificial intelligence techniques inc...

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Detalles Bibliográficos
Autores principales: Peng, Lihong, Wang, Chang, Tian, Geng, Liu, Guangyi, Li, Gan, Lu, Yuankang, Yang, Jialiang, Chen, Min, Li, Zejun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Microbiology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9539545/
https://www.ncbi.nlm.nih.gov/pubmed/36212877
http://dx.doi.org/10.3389/fmicb.2022.995323

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9539545/
https://www.ncbi.nlm.nih.gov/pubmed/36212877
http://dx.doi.org/10.3389/fmicb.2022.995323

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