Improving Low-Dose CT Image Using Residual Convolutional Network

Improving Low-Dose CT Image Using Residual Convolutional Network

Low-dose CT is an effective solution to alleviate radiation risk to patients, it also introduces additional noise and streak artifacts. In order to maintain a high image quality for low-dose scanned CT data, we propose a post-processing method based on deep learning and using 2-D and 3-D residual co...

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Bibliographic Details
Main Authors: Wei Yang, Huijuan Zhang, Jian Yang, Jiasong Wu, Xiangrui Yin, Yang Chen, Huazhong Shu, Limin Luo, Gouenou Coatrieux, Zhiguo Gui, Qianjin Feng
Format: Article
Language:English
Published: IEEE 2017-01-01
Series:IEEE Access
Subjects:
Low-dose CT
convolution neural network
residual learning
3D convolution
Online Access:https://ieeexplore.ieee.org/document/8082505/

Internet

https://ieeexplore.ieee.org/document/8082505/

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