Parse 2022（肺动脉分割）是MICCAI 2022挑战赛的CT数据集，包含200例由10位医生标注的肺动脉三维CT数据，分为100例训练、30例验证和70例测试。目前仅公开训练集的100张图像及标注，验证集仅提供图像无标注，官网在线提交已关闭。

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train
│
├── PA000005
│   ├── image
│   │   └── PA000005.nii.gz
│   └── label
│       └── PA000005.nii.gz
│
...
│
├── PA000317
│   ├── image
│   │   └── PA000317.nii.gz
│   └── label
│       └── PA000317.nii.gz
│
evaluation
│
├── PA000013.nii.gz
...
│
├── PA000316.nii.gz

@article{chu2025deep,
  title={Deep learning-driven pulmonary artery and vein segmentation reveals demography-associated vasculature anatomical differences},
  author={Chu, Yuetan and Luo, Gongning and Zhou, Longxi and Cao, Shaodong and Ma, Guolin and Meng, Xianglin and Zhou, Juexiao and Yang, Changchun and Xie, Dexuan and Mu, Dan and others},
  journal={Nature Communications},
  volume={16},
  number={1},
  pages={2262},
  year={2025},
  publisher={Nature Publishing Group UK London}
}.


@misc{luo2023parse,
    title={Efficient automatic segmentation for multi-level pulmonary arteries: The PARSE challenge},
    author={Gongning Luo and Kuanquan Wang and Jun Liu and Shuo Li and Xinjie Liang and Xiangyu Li and Shaowei Gan and Wei Wang and Suyu Dong and Wenyi Wang and Pengxin Yu and Enyou Liu and Hongrong Wei and Na Wang and Jia Guo and Huiqi Li and Zhao Zhang and Ziwei Zhao and Na Gao and Nan An and Ashkan Pakzad and Bojidar Rangelov and Jiaqi Dou and Song Tian and Zeyu Liu and Yi Wang and Ampatishan Sivalingam and Kumaradevan Punithakumar and Zhaowen Qiu and Xin Gao},
    year={2023},
    eprint={2304.03708},
    archivePrefix={arXiv},
    primaryClass={eess.IV}
}

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发布日期： April, 2022.