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