Abdominal CT Organ Segmentation by Accelerated nnUNet with a Coarse to Fine Strategy

Shoujin Huang, Lifeng Mei, Jingyu Li, Ziran Chen, Yue Zhang, Tan Zhang, Xin Nie, Kairen Deng, Mengye Lyu. Abdominal CT Organ Segmentation by Accelerated nnUNet with a Coarse to Fine Strategy. 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 23-34, Springer, 2022. [doi]

@inproceedings{HuangMLCZZNDL22,
  title = {Abdominal CT Organ Segmentation by Accelerated nnUNet with a Coarse to Fine Strategy},
  author = {Shoujin Huang and Lifeng Mei and Jingyu Li and Ziran Chen and Yue Zhang and Tan Zhang and Xin Nie and Kairen Deng and Mengye Lyu},
  year = {2022},
  doi = {10.1007/978-3-031-23911-3_3},
  url = {https://doi.org/10.1007/978-3-031-23911-3_3},
  researchr = {https://researchr.org/publication/HuangMLCZZNDL22},
  cites = {0},
  citedby = {0},
  pages = {23-34},
  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},
}