Noise-resilient approach for deep tomographic imaging

Zhen Guo,Zhiguang Liu,Qihang Zhang,George Barbastathis,Michael E. Glinsky

arxiv（2022）

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摘要

We propose a noise-resilient deep reconstruction algorithm for X-ray tomography. Our approach shows strong noise resilience without obtaining noisy training examples. The advantages of our framework may further enable low-photon tomographic imaging.

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关键词

deep tomographic imaging,low-photon tomographic imaging,noise-resilient approach,noise-resilient deep reconstruction algorithm,noisy training examples,strong noise resilience,X-ray tomography

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