Learnable Oriented-Derivative Network for Polyp Segmentation

Mengjun Cheng, Zishang Kong, Guoli Song, Yonghong Tian 0001, Yongsheng Liang, Jie Chen 0001. Learnable Oriented-Derivative Network for Polyp Segmentation. In Marleen de Bruijne, Philippe C. Cattin, Stéphane Cotin, Nicolas Padoy, Stefanie Speidel, Yefeng Zheng, Caroline Essert, editors, Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27 - October 1, 2021, Proceedings, Part I. Volume 12901 of Lecture Notes in Computer Science, pages 720-730, Springer, 2021. [doi]

@inproceedings{ChengKSTLC21,
  title = {Learnable Oriented-Derivative Network for Polyp Segmentation},
  author = {Mengjun Cheng and Zishang Kong and Guoli Song and Yonghong Tian 0001 and Yongsheng Liang and Jie Chen 0001},
  year = {2021},
  doi = {10.1007/978-3-030-87193-2_68},
  url = {https://doi.org/10.1007/978-3-030-87193-2_68},
  researchr = {https://researchr.org/publication/ChengKSTLC21},
  cites = {0},
  citedby = {0},
  pages = {720-730},
  booktitle = {Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27 - October 1, 2021, Proceedings, Part I},
  editor = {Marleen de Bruijne and Philippe C. Cattin and Stéphane Cotin and Nicolas Padoy and Stefanie Speidel and Yefeng Zheng and Caroline Essert},
  volume = {12901},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-87193-2},
}