Deep High-Resolution Network for Low Dose X-ray CT Denoising

@article{Bai2021DeepHN,
  title={Deep High-Resolution Network for Low Dose X-ray CT Denoising},
  author={Ti Bai and Dan Nguyen and Biling Wang and Steve B. Jiang},
  journal={ArXiv},
  year={2021},
  volume={abs/2102.00599}
}
Low Dose Computed Tomography (LDCT) is clinically desirable due to the reduced radiation to patients. However, the quality of LDCT images is often sub-optimal because of the inevitable strong quantum noise. Inspired by their unprecedent success in computer vision, deep learning (DL)-based techniques have been used for LDCT denoising. Despite the promising noise removal ability of DL models, people have observed that the resolution of the DL-denoised images is compromised, decreasing their… Expand
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