Low-dose CT restoration via stacked sparse denoising autoencoders

To improve the imaging quality of low-dose computed tomography (CT) images, a deep learning based method for low-dose CT restoration is presented in this paper. Stacked sparse denoising autoencoders, which were designed originally for training noisy samples, are adopted to construct the architecture...

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Vydané v:	Neurocomputing (Amsterdam) Ročník 284; s. 80 - 89
Hlavní autori:	Liu, Yan, Zhang, Yi
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier B.V 05.04.2018
Predmet:	Autoencoder Deep learning Image restoration Low-dose CT Deep learning Image restoration Autoencoder Low-dose CT
ISSN:	0925-2312, 1872-8286
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