MSD Lung Tumours数据集是Medical Segmentation Decathlon（医学分割十项全能，简称MSD）中的第六项子任务（Task06），旨在从CT图像中分割肺部肿瘤。MSD选择该数据集的原因是"在大背景中分割小目标"。该数据集包含96例非小细胞肺癌患者的薄层CT扫描，官方划分为64例训练集和32例测试集，其中测试集可通过官网在线提交分割结果。值得注意的是，我们实际下载到的训练集为63例。

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Task06_Lung
│
├── imagesTr
│   ├── lung_001.nii.gz
│   └── ...
├── labelsTr
│   ├── lung_001.nii.gz
│   └── ...
├── imagesTs
│   ├── lung_002.nii.gz
│   └── ...
└── dataset.json

@article{antonelli2022medical,
  title={The Medical Segmentation Decathlon},
  author={Antonelli, Michela and Reinke, Annika and Bakas, Spyridon and others},
  journal={Nature Communications},
  year={2022}, 
  doi={10.1038/s41467-022-30695-9}
}

@misc{simpson2019large,
      title={A large annotated medical image dataset for the development and evaluation of segmentation algorithms}, 
      author={Amber L. Simpson and Michela Antonelli and Spyridon Bakas and Michel Bilello and Keyvan Farahani and Bram van Ginneken and Annette Kopp-Schneider and Bennett A. Landman and Geert Litjens and Bjoern Menze and Olaf Ronneberger and Ronald M. Summers and Patrick Bilic and Patrick F. Christ and Richard K. G. Do and Marc Gollub and Jennifer Golia-Pernicka and Stephan H. Heckers and William R. Jarnagin and Maureen K. McHugo and Sandy Napel and Eugene Vorontsov and Lena Maier-Hein and M. Jorge Cardoso},
      year={2019},
      eprint={1902.09063},
      archivePrefix={arXiv},
      primaryClass={cs.CV}
}

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发布日期： February, 2019