Research on Classification of COVID-19 Chest X-Ray Image Modal Feature Fusion Based on Deep Learning

Most detection methods of coronavirus disease 2019 (COVID-19) use classic image classification models, which have problems of low recognition accuracy and inaccurate capture of modal features when detecting chest X-rays of COVID-19. This study proposes a COVID-19 detection method based on image moda...

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Detalles Bibliográficos
Autores principales: Ji, Dongsheng, Zhang, Zhujun, Zhao, Yanzhong, Zhao, Qianchuan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8387167/
https://www.ncbi.nlm.nih.gov/pubmed/34457220
http://dx.doi.org/10.1155/2021/6799202

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8387167/
https://www.ncbi.nlm.nih.gov/pubmed/34457220
http://dx.doi.org/10.1155/2021/6799202

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