A multi-scale gated multi-head attention depthwise separable CNN model for recognizing COVID-19

Coronavirus 2019 (COVID-19) is a new acute respiratory disease that has spread rapidly throughout the world. In this paper, a lightweight convolutional neural network (CNN) model named multi-scale gated multi-head attention depthwise separable CNN (MGMADS-CNN) is proposed, which is based on attentio...

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Detalles Bibliográficos
Autores principales: Hong, Geng, Chen, Xiaoyan, Chen, Jianyong, Zhang, Miao, Ren, Yumeng, Zhang, Xinyu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8433233/
https://www.ncbi.nlm.nih.gov/pubmed/34508120
http://dx.doi.org/10.1038/s41598-021-97428-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8433233/
https://www.ncbi.nlm.nih.gov/pubmed/34508120
http://dx.doi.org/10.1038/s41598-021-97428-8

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