Bilateral adaptive graph convolutional network on CT based Covid-19 diagnosis with uncertainty-aware consensus-assisted multiple instance learning

Coronavirus disease (COVID-19) has caused a worldwide pandemic, putting millions of people’s health and lives in jeopardy. Detecting infected patients early on chest computed tomography (CT) is critical in combating COVID-19. Harnessing uncertainty-aware consensus-assisted multiple instance learning...

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Detalles Bibliográficos
Autores principales: Meng, Yanda, Bridge, Joshua, Addison, Cliff, Wang, Manhui, Merritt, Cristin, Franks, Stu, Mackey, Maria, Messenger, Steve, Sun, Renrong, Fitzmaurice, Thomas, McCann, Caroline, Li, Qiang, Zhao, Yitian, Zheng, Yalin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Author(s). Published by Elsevier B.V. 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9753459/
https://www.ncbi.nlm.nih.gov/pubmed/36574737
http://dx.doi.org/10.1016/j.media.2022.102722

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9753459/
https://www.ncbi.nlm.nih.gov/pubmed/36574737
http://dx.doi.org/10.1016/j.media.2022.102722

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