CrodenseNet: An efficient parallel cross DenseNet for COVID-19 infection detection

Purpose At present, though the application of Convolution Neural Network (CNN) to detect COVID-19 infection significantly enhance the detection performance and efficiency, it often causes low sensitivity and poor generalization performance. Methods In this article, an effective CNN, CrodenseNet is p...

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Detalles Bibliográficos
Autores principales: Yang, Jingdong, Zhang, Lei, Tang, Xinjun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Ltd. 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9058031/
https://www.ncbi.nlm.nih.gov/pubmed/35530171
http://dx.doi.org/10.1016/j.bspc.2022.103775

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9058031/
https://www.ncbi.nlm.nih.gov/pubmed/35530171
http://dx.doi.org/10.1016/j.bspc.2022.103775

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