Noise2Context: Context-assisted Learning 3D Thin-layer for Low Dose CT.

  title={Noise2Context: Context-assisted Learning 3D Thin-layer for Low Dose CT.},
  author={Zhicheng Zhang and Xiaokun Liang and Wei Zhao and Lei Xing},
  journal={Medical physics},
PURPOSE Computed tomography (CT) has played a vital role in medical diagnosis, assessment, and therapy planning, etc. In clinical practice, concerns about the increase of X-ray radiation exposure attract more and more attention. To lower the X-ray radiation, low-dose CT (LDCT) has been widely adopted in certain scenarios, while it will induce the degradation of CT image quality. In this paper, we proposed a deep learning-based method that can train denoising neural networks without any clean… 

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