ATM22（气道树建模挑战赛2022）是一个大规模肺部气道分割CT数据集。该数据集包含500例带有完整肺部气道标注的CT扫描。官方将这些数据划分为300例训练集、50例验证集和150例测试集。需要注意的是，训练集中有20例直接来自EXACT'09训练集。此外发现原始训练集中有1例的标注与CT图像不匹配，该病例在最新版本中已被移除，因此实际可用的训练病例数为299例。验证集不提供标注，但可通过官网提交进行在线验证。

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ATM2022
│
├── imagesTr
│   ├── ATM_001.nii.gz
│   └── ...
│
├── labelsTr
│   ├── ATM_001.nii.gz
│   └── ...
│
├── imagesVal
│   ├── ATM_281.nii.gz
│   └── ...
│
├── labelsVal
│   ├── ATM_281.nii.gz
│   └── ...
│
├── imagesTs
│   ├── ATM_314.nii.gz
│   └── ...
│
└── labelsTs
    ├── ATM_314.nii.gz
    └── ...

@article{zhang2023multi,
  title={Multi-site, Multi-domain Airway Tree Modeling},
  author={Zhang, Minghui and Wu, Yangqian and Zhang, Hanxiao and Qin, Yulei and Zheng, Hao and Tang, Wen and Arnold, Corey and Pei, Chenhao and Yu, Pengxin and Nan, Yang and others},
  journal={Medical Image Analysis},
  pages={102957},
  year={2023},
  publisher={Elsevier}
}

@inproceedings{zhang2022cfda,
  title={CFDA: Collaborative Feature Disentanglement and Augmentation for Pulmonary Airway Tree Modeling of COVID-19 CTs},
  author={Zhang, Minghui and Zhang, Hanxiao and Yang, Guang-Zhong and Gu, Yun},
  booktitle={Medical Image Computing and Computer Assisted Intervention--MICCAI 2022: 25th International Conference, Singapore, September 18--22, 2022, Proceedings, Part I},
  pages={506--516},
  year={2022},
  organization={Springer}
}

@article{zheng2021alleviating,
  title={Alleviating class-wise gradient imbalance for pulmonary airway segmentation},
  author={Zheng, Hao and Qin, Yulei and Gu, Yun and Xie, Fangfang and Yang, Jie and Sun, Jiayuan and Yang, Guang-Zhong},
  journal={IEEE Transactions on Medical Imaging},
  volume={40},
  number={9},
  pages={2452--2462},
  year={2021},
  publisher={IEEE}
}

@inproceedings{yu2022break,
  title={BREAK: Bronchi Reconstruction by gEodesic transformation And sKeleton embedding},
  author={Yu, Weihao and Zheng, Hao and Zhang, Minghui and Zhang, Hanxiao and Sun, Jiayuan and Yang, Jie},
  booktitle={2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI)},
  pages={1--5},
  year={2022},
  organization={IEEE}
}

@inproceedings{qin2019airwaynet,
  title={Airwaynet: a voxel-connectivity aware approach for accurate airway segmentation using convolutional neural networks},
  author={Qin, Yulei and Chen, Mingjian and Zheng, Hao and Gu, Yun and Shen, Mali and Yang, Jie and Huang, Xiaolin and Zhu, Yue-Min and Yang, Guang-Zhong},
  booktitle={International Conference on Medical Image Computing and Computer-Assisted Intervention},
  pages={212--220},
  year={2019},
  organization={Springer}
}

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发布日期： May, 2022