Lymph Node Gross Tumor Volume Detection in Oncology Imaging via Relationship Learning Using Graph Neural Network

@article{Chao2020LymphNG,
  title={Lymph Node Gross Tumor Volume Detection in Oncology Imaging via Relationship Learning Using Graph Neural Network},
  author={Chun-Hung Chao and Zhuotun Zhu and Dazhou Guo and Ke Yan and Tsung-Ying Ho and Jinzheng Cai and Adam P. Harrison and X. Ye and Jing Xiao and A. Yuille and Min Sun and Le Lu and D. Jin},
  journal={ArXiv},
  year={2020},
  volume={abs/2008.13013}
}
Determining the spread of GTV$_{LN}$ is essential in defining the respective resection or irradiating regions for the downstream workflows of surgical resection and radiotherapy for many cancers. Different from the more common enlarged lymph node (LN), GTV$_{LN}$ also includes smaller ones if associated with high positron emission tomography signals and/or any metastasis signs in CT. This is a daunting task. In this work, we propose a unified LN appearance and inter-LN relationship learning… Expand

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