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[MICCAI2019] Artifact Disentanglement Network for Unsupervised Metal Artifact Reduction
時間 2021-01-02
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作者:Haofu Liao, University of Rochester metal artifact reduction(MAR) Intro CT影像的MAR一般是需要合成數據來進行訓練,然而合成影像並不能完美反應真實CT的物理特性。本文首次提出利用無監督學習來做MAR,具體地,文章使用了disentanglement network,將影像解耦到common content 空間和art
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相關文章
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The Hessian Penalty: A Weak Prior for Unsupervised Disentanglement
2.
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3.
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maven Failed to copy file for artifact
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