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Iterative Reconstruction for Low-Dose CT Using Deep Gradient Priors of Generative Model
Dose reduction in computed tomography (CT) is essential for decreasing radiation risk in clinical applications. Iterative reconstruction is one of the most promising ways to compensate for the increased noise due to the reduction of photon flux. Rather than most existing prior-driven algorithms that benefit from manually designed prior functions …