ERA-WGAT: Edge-enhanced residual autoencoder with a window-based graph attention convolutional network for low-dose CT denoising

Computed tomography (CT) has become a powerful tool for medical diagnosis. However, minimizing X-ray radiation risk for the patient poses significant challenges to obtain suitable low dose CT images. Although various low-dose CT methods using deep learning techniques have produced impressive results...

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Bibliographic Details

Published in:	Biomedical optics express Vol. 13; no. 11; pp. 5775 - 5793
Main Authors:	Liu, Han, Liao, Peixi, Chen, Hu, Zhang, Yi
Format:	Journal Article
Language:	English
Published:	United States Optica Publishing Group 01.11.2022
ISSN:	2156-7085, 2156-7085
Online Access:	Get full text
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