HiPaS肺部动静脉分割数据集
HiPaS数据集包括了250例有肺部动静脉标注的CT数据。其中既包括了非增强CT数据，也有肺动脉造影（CTPA）数据。数据原始分离氨氯信息在metadata.xlsx中提供。
xiongbu可视化图片
可视化图片 1
数据集元信息
| 维度 | 3D |
| 模态 | ct |
| 任务类型 | segmentation |
| 解剖结构 | 肺动脉 肺静脉 |
| 解剖区域 | 胸部 |
| 类别数 | 2 |
| 数据量 | 250 |
| 文件格式 | npz |
引用
@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}
}