Research Articie
10 June 2021
Deep Learning–Based CT-to-CBCT Deformable Image Registration for Autosegmentation in Head and Neck Adaptive Radiation Therapy
Xiao Liang
1
,
Howard Morgan
2
,
Dan Nguyen
3
,
Steve Jiang
4
show author's information
- 1 : Medical Artificial Intelligence and Automation Laboratory and Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, TX, USA
- 2 : Medical Artificial Intelligence and Automation Laboratory and Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, TX, USA
- 3 : Medical Artificial Intelligence and Automation Laboratory and Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, TX, USA
- 4 : Medical Artificial Intelligence and Automation Laboratory and Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, TX, USA
DOI:
https://doi.org/10.2991/jaims.d.210527.001
Keywords:
Deep learning; Deformable image registration; Segmentation; CBCT
Cite this article:
Liang X, Morgan H, Nguyen D, Jiang S. Deep Learning–Based CT-to-CBCT Deformable Image Registration for Autosegmentation in Head and Neck Adaptive Radiation Therapy. JAIMS [Internet]. 2021;2(1-2):62-75.
