Published April 20, 2020
| Version Verson 1.0
Dataset
Open
COVID-19 CT Lung and Infection Segmentation Dataset
Authors/Creators
Authors/Creators
- 1. Department of Mathematics, Nanjing University of Science and Technology
- 2. Institute of Bioinformatics and Medical Engineering, Jiangsu University of Technology
- 3. Institute of Computing Technology, Chinese Academy of Sciences;University of Chinese Academy of Sciences
- 4. CEC Brain
- 5. Shanghai University
- 6. Institute of Science and Technology for Brain-inspired Intelligence, Fudan University
- 7. Southeast University
- 8. Suzhou LungCare Medical Technology Co., Ltd
- 9. Chongqing University of Posts and Telecommunications
- 10. School of Engineering, China Pharmaceutical University
- 11. School of Computer Science and Engineering, Central South University
- 12. School of Information Engineering, Zhengzhou University
- 13. College of Electronics and Information Engineering, Tongji University
- 14. Department of Mathematics, Nanjing University
- 15. Department of Radiology, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School
Description
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
COVID-19-CT-Seg_20cases.zip
Additional details
Related works
- Is derived from
- Dataset: https://gitee.com/junma11/COVID-19-CT-Seg-Benchmark (URL)