FRNET: An Effective Hybrid Structure for Automatic Segmentation of Head and Neck Primary Tumors from Multimodal Images

Qiang Liu, Jun Shi, Liang Qiao, Ziqi Zhu, Hong An, Minfan Zhao. FRNET: An Effective Hybrid Structure for Automatic Segmentation of Head and Neck Primary Tumors from Multimodal Images. In 20th IEEE International Symposium on Biomedical Imaging, ISBI 2023, Cartagena, Colombia, April 18-21, 2023. pages 1-5, IEEE, 2023. [doi]

@inproceedings{LiuSQZAZ23,
  title = {FRNET: An Effective Hybrid Structure for Automatic Segmentation of Head and Neck Primary Tumors from Multimodal Images},
  author = {Qiang Liu and Jun Shi and Liang Qiao and Ziqi Zhu and Hong An and Minfan Zhao},
  year = {2023},
  doi = {10.1109/ISBI53787.2023.10230383},
  url = {https://doi.org/10.1109/ISBI53787.2023.10230383},
  researchr = {https://researchr.org/publication/LiuSQZAZ23},
  cites = {0},
  citedby = {0},
  pages = {1-5},
  booktitle = {20th IEEE International Symposium on Biomedical Imaging, ISBI 2023, Cartagena, Colombia, April 18-21, 2023},
  publisher = {IEEE},
  isbn = {978-1-6654-7358-3},
}