COVID-19 diagnosis via chest X-ray image classification based on multiscale class residual attention

Aiming at detecting COVID-19 effectively, a multiscale class residual attention (MCRA) network is proposed via chest X-ray (CXR) image classification. First, to overcome the data shortage and improve the robustness of our network, a pixel-level image mixing of local regions was introduced to achieve...

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Detalles Bibliográficos
Autores principales: Liu, Shangwang, Cai, Tongbo, Tang, Xiufang, Zhang, Yangyang, Wang, Changgeng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Ltd. 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9433340/
https://www.ncbi.nlm.nih.gov/pubmed/36081225
http://dx.doi.org/10.1016/j.compbiomed.2022.106065

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9433340/
https://www.ncbi.nlm.nih.gov/pubmed/36081225
http://dx.doi.org/10.1016/j.compbiomed.2022.106065

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