A depthwise separable dense convolutional network with convolution block attention module for COVID-19 diagnosis on CT scans

Coronavirus disease 2019 (COVID-19) has caused more than 3 million deaths and infected more than 170 million individuals all over the world. Rapid identification of patients with COVID-19 is the key to control transmission and prevent depletion of hospitals. Several networks have been proposed to as...

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Detalles Bibliográficos
Autores principales: Li, Qian, Ning, Jiangbo, Yuan, Jianping, Xiao, Ling
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Ltd. 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8425669/
https://www.ncbi.nlm.nih.gov/pubmed/34530335
http://dx.doi.org/10.1016/j.compbiomed.2021.104837

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8425669/
https://www.ncbi.nlm.nih.gov/pubmed/34530335
http://dx.doi.org/10.1016/j.compbiomed.2021.104837

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