Multi-window back-projection residual networks for reconstructing COVID-19 CT super-resolution images

BACKGROUND AND OBJECTIVE: With the increasing problem of coronavirus disease 2019 (COVID-19) in the world, improving the image resolution of COVID-19 computed tomography (CT) becomes a very important task. At present, single-image super-resolution (SISR) models based on convolutional neural networks...

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Detalles Bibliográficos
Autores principales: Qiu, Defu, Cheng, Yuhu, Wang, Xuesong, Zhang, Xiaoqiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier B.V. 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7834190/
https://www.ncbi.nlm.nih.gov/pubmed/33454574
http://dx.doi.org/10.1016/j.cmpb.2021.105934

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7834190/
https://www.ncbi.nlm.nih.gov/pubmed/33454574
http://dx.doi.org/10.1016/j.cmpb.2021.105934

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