Published May 29, 2022
| Version v1
Dataset
Open
Dataset TrainBatch2 for the MICCAI-2022-Challenge: Airway Tree Modeling (ATM'22)
Authors/Creators
- 1. Institute of Medical Robotics, Shanghai Jiao Tong University, Shanghai, China
Description
[Attention]: ATM_164_0000.nii.gz has misaligned label to CT image, please discard this case!
Dataset for the MICCAI-2022-Challenge: Airway Tree Modeling (ATM'22)
This is the TrainBatch2.
If you use this dataset in your research, you must cite the papers in the References below !!!
Files
Files
(27.5 GB)
| Name | Size | |
|---|---|---|
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md5:8873849bbdeb9b50c62be98c005b8972
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27.5 GB | Download |
Additional details
References
- Zhang M, Yu X, Zhang H, et al. FDA: Feature Decomposition and Aggregation for Robust Airway Segmentation[M]//Domain Adaptation and Representation Transfer, and Affordable Healthcare and AI for Resource Diverse Global Health. Springer, Cham, 2021: 25-34.
- Zheng H, Qin Y, Gu Y, et al. Alleviating class-wise gradient imbalance for pulmonary airway segmentation[J]. IEEE Transactions on Medical Imaging, 2021, 40(9): 2452-2462.
- Yu W, Zheng H, Zhang M, et al. BREAK: Bronchi Reconstruction by gEodesic transformation And sKeleton embedding[C]//2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI). IEEE, 2022: 1-5.
- Qin Y, Chen M, Zheng H, et al. Airwaynet: a voxel-connectivity aware approach for accurate airway segmentation using convolutional neural networks[C]//International Conference on Medical Image Computing and Computer-Assisted Intervention. Springer, Cham, 2019: 212-220.