Dataset Open Access
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
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 |
All versions | This version | |
---|---|---|
Views | 46,711 | 46,692 |
Downloads | 35,770 | 35,770 |
Data volume | 23.3 TB | 23.3 TB |
Unique views | 37,604 | 37,590 |
Unique downloads | 13,801 | 13,801 |