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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Bibliographic Details

Published in:	Neurocomputing (Amsterdam) Vol. 284; pp. 80 - 89
Main Authors:	Liu, Yan, Zhang, Yi
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 05.04.2018
Subjects:	Autoencoder Deep learning Image restoration Low-dose CT Deep learning Image restoration Autoencoder Low-dose CT
ISSN:	0925-2312, 1872-8286
Online Access:	Get full text
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