Dataset Open Access

COVID-19 CT Lung and Infection Segmentation Dataset

Ma Jun; Ge Cheng; Wang Yixin; An Xingle; Gao Jiantao; Yu Ziqi; Zhang Minqing; Liu Xin; Deng Xueyuan; Cao Shucheng; Wei Hao; Mei Sen; Yang Xiaoyu; Nie Ziwei; Li Chen; Tian Lu; Zhu Yuntao; Zhu Qiongjie; Dong Guoqiang; He Jian

This dataset contains 20 labeled COVID-19 CT scans. Left lung, right lung, and infections are labeled by two radiologists and verified by an experienced radiologist. 
To promote the studies of annotation-efficient deep learning methods, we set up three segmentation benchmark tasks based on this dataset https://gitee.com/junma11/COVID-19-CT-Seg-Benchmark.

In particular, we focus on learning to segment left lung, right lung, and infections using

  • pure but limited COVID-19 CT scans;
  • existing labeled lung CT dataset from other non-COVID-19 lung diseases;
  • heterogeneous datasets include both COVID-19 and non-COVID-19 CT scans.

Files (1.1 GB)
Name Size
COVID-19-CT-Seg_20cases.zip
md5:873617e1fdcbe92f8aa0ce83a4798a1f
1.1 GB Download
Infection_Mask.zip
md5:98fa9f5401fa8409dccd1681a36febcf
2.6 MB Download
Lung_and_Infection_Mask.zip
md5:40fa1fa124f6aab6daf9feea9c373313
11.7 MB Download
Lung_Mask.zip
md5:972b3d9b4c7b64d2c518b936bd98cb47
10.1 MB Download
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