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...
| Publicado en: | Journal of Digital Imaging Vol. 33; no. 2; pp. 504 - 516 |
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| Autores principales: | , , |
| Formato: | diagnostic images equations & formulas research tables/charts Journal Article |
| Publicado: |
Springer Nature
Apr2020
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| Acceso en línea: | Ver este registro en EBSCOhost |