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[MICCAI2019] Artifact Disentanglement Network for Unsupervised Metal Artifact Reduction
时间 2021-01-02
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作者:Haofu Liao, University of Rochester metal artifact reduction(MAR) Intro CT影像的MAR一般是需要合成数据来进行训练,然而合成影像并不能完美反应真实CT的物理特性。本文首次提出利用无监督学习来做MAR,具体地,文章使用了disentanglement network,将影像解耦到common content 空间和art
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相关文章
1.
The Hessian Penalty: A Weak Prior for Unsupervised Disentanglement
2.
Unsupervised Learning-Dimension Reduction
3.
Artifact Request_study:war exploded: Error during artifact deployment.
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maven Failed to copy file for artifact
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IDEA报错:Artifact Project3:war exploded: Error during artifact deployment. See server log for details.
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