Deep Learning for Low-Dose CT Denoising

Maryam Gholizadeh-Ansari
Maryam Gholizadeh-Ansari

arXiv: Image and Video Processing, 2019.

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Abstract:

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 dilation rates instead of standard co...More

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