DR-MIL: deep represented multiple instance learning distinguishes COVID-19 from community-acquired pneumonia in CT images

BACKGROUND AND OBJECTIVE: Given that the novel coronavirus disease 2019 (COVID-19) has become a pandemic, a method to accurately distinguish COVID-19 from community-acquired pneumonia (CAP) is urgently needed. However, the spatial uncertainty and morphological diversity of COVID-19 lesions in the lu...

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Detalles Bibliográficos
Autores principales: Qi, Shouliang, Xu, Caiwen, Li, Chen, Tian, Bin, Xia, Shuyue, Ren, Jigang, Yang, Liming, Wang, Hanlin, Yu, Hui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier B.V. 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8426140/
https://www.ncbi.nlm.nih.gov/pubmed/34536634
http://dx.doi.org/10.1016/j.cmpb.2021.106406

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8426140/
https://www.ncbi.nlm.nih.gov/pubmed/34536634
http://dx.doi.org/10.1016/j.cmpb.2021.106406

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