GACDN: generative adversarial feature completion and diagnosis network for COVID-19

BACKGROUND: The outbreak of coronavirus disease 2019 (COVID-19) causes tens of million infection world-wide. Many machine learning methods have been proposed for the computer-aided diagnosis between COVID-19 and community-acquired pneumonia (CAP) from chest computed tomography (CT) images. Most of t...

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Detalles Bibliográficos
Autores principales: Zhu, Qi, Ye, Haizhou, Sun, Liang, Li, Zhongnian, Wang, Ran, Shi, Feng, Shen, Dinggang, Zhang, Daoqiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8529574/
https://www.ncbi.nlm.nih.gov/pubmed/34674660
http://dx.doi.org/10.1186/s12880-021-00681-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8529574/
https://www.ncbi.nlm.nih.gov/pubmed/34674660
http://dx.doi.org/10.1186/s12880-021-00681-6

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