Automated CT segmentation for rapid assessment of anatomical variations in head-and-neck radiation therapy

Xianjin Dai, Yang Lei 0002, Tonghe Wang, Zhen Tian, Jun Zhou, Mark McDonald, David S. Yu, Beth B. Ghavidel, Jeffrey D. Bradley, Tian Liu 0004, Xiaofeng Yang 0005. Automated CT segmentation for rapid assessment of anatomical variations in head-and-neck radiation therapy. In Cristian A. Linte, Jeffrey H. Siewerdsen, editors, Medical Imaging 2022: Image-Guided Procedures, Robotic Interventions, and Modeling, San Diego, CA, USA, February 20-24, 2022 / Online, March 21-27, 2022. Volume 12034 of SPIE Proceedings, SPIE, 2022. [doi]

@inproceedings{Dai0WTZMYGB0022,
  title = {Automated CT segmentation for rapid assessment of anatomical variations in head-and-neck radiation therapy},
  author = {Xianjin Dai and Yang Lei 0002 and Tonghe Wang and Zhen Tian and Jun Zhou and Mark McDonald and David S. Yu and Beth B. Ghavidel and Jeffrey D. Bradley and Tian Liu 0004 and Xiaofeng Yang 0005},
  year = {2022},
  doi = {10.1117/12.2613060},
  url = {https://doi.org/10.1117/12.2613060},
  researchr = {https://researchr.org/publication/Dai0WTZMYGB0022},
  cites = {0},
  citedby = {0},
  booktitle = {Medical Imaging 2022: Image-Guided Procedures, Robotic Interventions, and Modeling, San Diego, CA, USA, February 20-24, 2022 / Online, March 21-27, 2022},
  editor = {Cristian A. Linte and Jeffrey H. Siewerdsen},
  volume = {12034},
  series = {SPIE Proceedings},
  publisher = {SPIE},
  isbn = {9781510649446},
}