Image Restoration for Low-Dose CT via Transfer Learning and Residual Network

Image Restoration for Low-Dose CT via Transfer Learning and Residual Network

Deep learning has recently been extensively investigated to remove artifacts in low-dose computed tomography (LDCT). However, the power of transfer learning for medical image denoising tasks has not been fully explored. In this work, we proposed a transfer learning residual convolutional neural netw...

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Bibliographic Details
Main Authors: Anni Zhong, Bin Li, Ning Luo, Yuan Xu, Linghong Zhou, Xin Zhen
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
LDCT
image denoising
CNN
transfer learning
residual network
Online Access:https://ieeexplore.ieee.org/document/9117103/

Internet

https://ieeexplore.ieee.org/document/9117103/

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