Title: COVID-19 CT Lung and Infection Segmentation Dataset

Type 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 (2020): COVID-19 CT Lung and Infection Segmentation Dataset. Zenodo. Dataset. https://zenodo.org/record/3757476

Authors: Ma Jun (Department of Mathematics, Nanjing University of Science and Technology) ; Ge Cheng (Institute of Bioinformatics and Medical Engineering, Jiangsu University of Technology) ; Wang Yixin (Institute of Computing Technology, Chinese Academy of Sciences;University of Chinese Academy of Sciences) ; An Xingle (CEC Brain) ; Gao Jiantao (Shanghai University) ; Yu Ziqi (Institute of Science and Technology for Brain-inspired Intelligence, Fudan University) ; Zhang Minqing (Southeast University) ; Liu Xin (Suzhou LungCare Medical Technology Co., Ltd) ; Deng Xueyuan (Chongqing University of Posts and Telecommunications) ; Cao Shucheng (School of Engineering, China Pharmaceutical University) ; Wei Hao (School of Computer Science and Engineering, Central South University) ; Mei Sen (School of Information Engineering, Zhengzhou University) ; Yang Xiaoyu (College of Electronics and Information Engineering, Tongji University) ; Nie Ziwei (Department of Mathematics, Nanjing University) ; Li Chen (Department of Mathematics, Nanjing University) ; Tian Lu (Department of Mathematics, Nanjing University) ; Zhu Yuntao (Department of Mathematics, Nanjing University) ; Zhu Qiongjie (Department of Radiology, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School) ; Dong Guoqiang (Department of Radiology, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School) ; He Jian (Department of Radiology, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School) ;

Links

• Item record in Zenodo
• Digital object URL

Summary

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

More information

• DOI: 10.5281/zenodo.3757476

Subjects

• COVID-19, Segmentation, Lung, Infection, Computed tomography

Dates

• Publication date: 2020
• Issued: April 20, 2020

Rights

• https://creativecommons.org/licenses/by/4.0/legalcode Creative Commons Attribution 4.0 International
• info:eu-repo/semantics/openAccess Open Access

Format

electronic resource

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