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Regularized Three-Dimensional Generative Adversarial Nets for Unsupervised Metal Artifact Reduction in Head and Neck CT Images

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The reduction of metal artifacts in computed tomography (CT) images. specifically for strong artifacts generated from multiple metal objects. is a challenging issue in medical imaging research. Although there have been some studies on supervised metal artifact reduction through the learning of synthesized artifacts. https://darthomes.shop/product-category/sign/
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