Research Articie
03 May 2021
Deep High-Resolution Network for Low-Dose X-Ray CT Denoising
Ti Bai
1
,
Dan Nguyen
2
,
Biling Wang
3
,
Steve Jiang
4
show author's information
- 1 : Medical Artificial Intelligence and Automation (MAIA) Laboratory, Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, TX, 75390, USA
- 2 : Medical Artificial Intelligence and Automation (MAIA) Laboratory, Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, TX, 75390, USA
- 3 : Medical Artificial Intelligence and Automation (MAIA) Laboratory, Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, TX, 75390, USA
- 4 : Medical Artificial Intelligence and Automation (MAIA) Laboratory, Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, TX, 75390, USA
DOI:
https://doi.org/10.2991/jaims.d.210428.001
Keywords:
Low-dose CT; Deep learning; Denoise
Cite this article:
Bai T, Nguyen D, Wang B, Jiang S. Deep High-Resolution Network for Low-Dose X-Ray CT Denoising. JAIMS [Internet]. 2021;2(1-2):33-43
