Boosting Magnetic Resonance Image Denoising With Generative Adversarial Networks

Boosting Magnetic Resonance Image Denoising With Generative Adversarial Networks

Denoising plays an important role in the Magnetic Resonance Imaging (MRI) applications for medical diagnosis. MRI images usually contain undesired noises which would negatively affect the exactitude of pathological diagnosis. Recently, many models for MRI denoising have been developed from deep lear...

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Bibliographic Details
Main Authors: Miao Tian, Kaikai Song
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Magnetic resonance imaging
image denoising
deep learning
generative adversarial networks
convolutional neural networks
Online Access:https://ieeexplore.ieee.org/document/9406803/

Internet

https://ieeexplore.ieee.org/document/9406803/

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