• Corpus ID: 244798687

Total-Body Low-Dose CT Image Denoising using Prior Knowledge Transfer Technique with Contrastive Regularization Mechanism

@article{Fu2021TotalBodyLC,
  title={Total-Body Low-Dose CT Image Denoising using Prior Knowledge Transfer Technique with Contrastive Regularization Mechanism},
  author={Minghan Fu and Yanhua Duan and Zhaoping Cheng and Wenjian Qin and Ying Wang and Dong Liang and Zhanli Hu},
  journal={ArXiv},
  year={2021},
  volume={abs/2112.00729}
}
Reducing the radiation exposure for patients in Total-body CT scan has attracted extensive attention in the medical imaging community. Given the fact that low radiation dose may result in increased noise and artifacts, which greatly affected the clinical diagnosis. To obtain high-quality Total-body Low-dose CT (LDCT) images, previous deep-learning based research work has introduced various network architectures. However, most of these methods only adopt Normal-dose CT (NDCT) images as ground… 

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