CHAOS
CHAOS（Combined CT-MR Healthy Abdominal Organ Segmentation，联合CT-MR健康腹部器官分割）是腹部医学图像分割的经典基准之一，其独特之处在于提供了配对的CT和MR多模态数据及相应标注。该数据集在ISBI 2019挑战赛中发布，包含40例配对的CT和MR数据，其中仅20例提供标注作为训练集，剩余20例官方声明不发布标注。值得注意的是，尽管数据是配对的，但CT和MR的标注并不相同：CT仅提供肝脏标注，而MR则提供四个不同器官的标注。
腹部可视化图片
可视化图片 1
可视化图片 2
可视化图片 3
数据集元信息
| 维度 | 3D |
| 模态 | ct |
| 任务类型 | segmentation |
| 解剖结构 | 肝脏、左肾、右肾、脾脏 |
| 解剖区域 | 腹部 |
| 类别数 | 4 |
| 数据量 | 训练集20例，验证集20例 |
| 文件格式 | DICOM |
文件结构
CHAOS_Train_Sets
│
├── ct
│ ├── 11
│ ├── 12
│ └── ...
├── t1w
├── ...
CHAOS_Test_Sets
│
├── ct
│ ├── 11
│ ├── 12
│ └── ...
├── t1w
├── ...图像尺寸统计
| 统计类型 | 间距 (mm) | 尺寸 |
|---|---|---|
| 最小值 | (0.56,0.56,1.00) |
(512,512,81) |
| 中位值 | (0.69,0.69,1.60) |
(512,512,111) |
| 最大值 | (0.79,0.79,2.0) |
(512,512,266) |
引用
@article{CHAOS2021,
title = {{CHAOS Challenge - combined (CT-MR) healthy abdominal organ segmentation}},
journal = {Medical Image Analysis},
publisher= {Elsevier BV},
volume = {69},
pages = {101950},
year = {2021},
month = Apr,
issn = {1361-8415},
doi = {https://doi.org/10.1016/j.media.2020.101950},
url = {http://www.sciencedirect.com/science/article/pii/S1361841520303145},
author = {A. Emre Kavur and N. Sinem Gezer and Mustafa Barış and Sinem Aslan and Pierre-Henri Conze and Vladimir Groza and Duc Duy Pham and Soumick Chatterjee and Philipp Ernst and Savaş Özkan and Bora Baydar and Dmitry Lachinov and Shuo Han and Josef Pauli and Fabian Isensee and Matthias Perkonigg and Rachana Sathish and Ronnie Rajan and Debdoot Sheet and Gurbandurdy Dovletov and Oliver Speck and Andreas Nürnberger and Klaus H. Maier-Hein and Gözde {Bozdağı Akar} and Gözde Ünal and Oğuz Dicle and M. Alper Selver},
keywords = {Segmentation, Challenge, Abdomen, Cross-modality},
}
@dataset{CHAOSdata2019,
author = {Ali Emre Kavur and M. Alper Selver and Oğuz Dicle and Mustafa Barış and N. Sinem Gezer},
title = {{CHAOS - Combined (CT-MR) Healthy Abdominal Organ Segmentation Challenge Data}},
month = Apr,
year = 2019,
publisher = {Zenodo},
version = {v1.03},
doi = {10.5281/zenodo.3362844},
url = {https://doi.org/10.5281/zenodo.3362844}
}
@article{kavur2019,
title = {Comparison of semi-automatic and deep learning based automatic methods for liver segmentation in living liver transplant donors},
author = {Kavur, A. Emre and Gezer, Naciye Sinem and Barış, Mustafa and Şahin, Yusuf and Özkan, Savaş and Baydar,Bora and Yüksel, Ulaş and Kılıkçıer, Çağlar and Olut, Şahin and Bozdağı Akar, Gözde and Ünal, Gözde and Dicle, Oğuz and Selver, M. Alper},
journal = {Diagnostic and Interventional Radiology},
volume = {26},
pages = {11-21},
year = {2020},
month = Jan,
doi = {10.5152/dir.2019.19},
url = {https://doi.org/10.5152/dir.2019.19025}
}