Low-dose CT Denoising Based on Subspace Projection and Edge Enhancement

Low-dose CT Denoising Based on Subspace Projection and Edge Enhancement

Low-dose computed tomography (CT) is a relatively safe method for disease screening. But low-dose CT images often contain severe noise and artifacts, which seriously affect the subsequent diagnosis. To solve this problem, this paper proposes a subspace projection and edge enhancement network (SPEENe...

Full description

Bibliographic Details
Main Authors: Yili WEI, Ziyuan YANG, Wenjun XIA, Tao WANG, Yi ZHANG
Format: Article
Language:English
Published: Editorial Office of Computerized Tomography Theory and Application 2022-12-01
Series:CT Lilun yu yingyong yanjiu
Subjects:
deep learning
autoencoder
low-dose ct
subspace projection
edge information
Online Access:https://www.cttacn.org.cn/cn/article/doi/10.15953/j.ctta.2022.108

Internet

https://www.cttacn.org.cn/cn/article/doi/10.15953/j.ctta.2022.108

Similar Items