3D U-Net Applied to Simple Attention Module for Head and Neck Tumor Segmentation in PET and CT Images

Tao Liu, Yixin Su, Jiabao Zhang, Tianqi Wei, Zhiyong Xiao. 3D U-Net Applied to Simple Attention Module for Head and Neck Tumor Segmentation in PET and CT Images. In Vincent Andrearczyk, Valentin Oreiller, Mathieu Hatt, Adrien Depeursinge, editors, Head and Neck Tumor Segmentation and Outcome Prediction - Second Challenge, HECKTOR 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021, Proceedings. Volume 13209 of Lecture Notes in Computer Science, pages 99-108, Springer, 2021. [doi]

@inproceedings{LiuSZWX21,
  title = {3D U-Net Applied to Simple Attention Module for Head and Neck Tumor Segmentation in PET and CT Images},
  author = {Tao Liu and Yixin Su and Jiabao Zhang and Tianqi Wei and Zhiyong Xiao},
  year = {2021},
  doi = {10.1007/978-3-030-98253-9_9},
  url = {https://doi.org/10.1007/978-3-030-98253-9_9},
  researchr = {https://researchr.org/publication/LiuSZWX21},
  cites = {0},
  citedby = {0},
  pages = {99-108},
  booktitle = {Head and Neck Tumor Segmentation and Outcome Prediction - Second Challenge, HECKTOR 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021, Proceedings},
  editor = {Vincent Andrearczyk and Valentin Oreiller and Mathieu Hatt and Adrien Depeursinge},
  volume = {13209},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-98253-9},
}