Densely connected attention network for diagnosing COVID-19 based on chest CT

BACKGROUND: To fully enhance the feature extraction capabilities of deep learning models, so as to accurately diagnose coronavirus disease 2019 (COVID-19) based on chest CT images, a densely connected attention network (DenseANet) was constructed by utilizing the self-attention mechanism in deep lea...

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Detalles Bibliográficos
Autores principales: Fu, Yu, Xue, Peng, Dong, Enqing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Ltd. 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8427919/
https://www.ncbi.nlm.nih.gov/pubmed/34520988
http://dx.doi.org/10.1016/j.compbiomed.2021.104857

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8427919/
https://www.ncbi.nlm.nih.gov/pubmed/34520988
http://dx.doi.org/10.1016/j.compbiomed.2021.104857

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