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Deep Learning for Low-Dose CT Denoising Using Perceptual Loss and Edge Detection Layer
Low-dose CT denoising is a challenging task that has been studied by many researchers. Some studies have used deep neural networks to improve the quality of low-dose CT images and achieved fruitful results. In this paper, we propose a deep neural network that uses dilated convolutions with different...
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| Publicat a: | J Digit Imaging |
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| Autors principals: | , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Springer International Publishing
2019
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7165209/ https://ncbi.nlm.nih.gov/pubmed/31515756 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s10278-019-00274-4 |
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