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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...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier B.V.
2021
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| Materias: | |
| 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 |