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...
| Published in: | Journal of Digital Imaging Vol. 33; no. 2; pp. 504 - 516 |
|---|---|
| Main Authors: | , , |
| Format: | diagnostic images equations & formulas research tables/charts Journal Article |
| Published: |
Springer Nature
Apr2020
|
| Online Access: | View this record in EBSCOhost |