Efficient Semi-supervised Multi-organ Segmentation Using Uncertainty Rectified Pyramid Consistency

Meng Han, Yijie Qu, Xiangde Luo. Efficient Semi-supervised Multi-organ Segmentation Using Uncertainty Rectified Pyramid Consistency. In Jun Ma, Bo Wang, editors, Fast and Low-Resource Semi-supervised Abdominal Organ Segmentation - MICCAI 2022 Challenge, FLARE 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings. Volume 13816 of Lecture Notes in Computer Science, pages 307-317, Springer, 2022. [doi]

@inproceedings{HanQL22,
  title = {Efficient Semi-supervised Multi-organ Segmentation Using Uncertainty Rectified Pyramid Consistency},
  author = {Meng Han and Yijie Qu and Xiangde Luo},
  year = {2022},
  doi = {10.1007/978-3-031-23911-3_27},
  url = {https://doi.org/10.1007/978-3-031-23911-3_27},
  researchr = {https://researchr.org/publication/HanQL22},
  cites = {0},
  citedby = {0},
  pages = {307-317},
  booktitle = {Fast and Low-Resource Semi-supervised Abdominal Organ Segmentation - MICCAI 2022 Challenge, FLARE 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings},
  editor = {Jun Ma and Bo Wang},
  volume = {13816},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-031-23911-3},
}