COVID-19 CT Lung and Infection Segmentation Dataset

Zenodo2020-04-20 更新2026-04-07 收录

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COVID-19肺部CT分析

数据链接：

https://zenodo.org/record/3757476 数据链接链接失效反馈

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资源简介：

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. <br> 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.

提供机构：

School of Information Engineering, Zhengzhou University; Institute of Bioinformatics and Medical Engineering, Jiangsu University of Technology; Suzhou LungCare Medical Technology Co., Ltd; Institute of Computing Technology, Chinese Academy of Sciences;University of Chinese Academy of Sciences; Southeast University; College of Electronics and Information Engineering, Tongji University; Department of Mathematics, Nanjing University; Department of Radiology, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School; CEC Brain; School of Computer Science and Engineering, Central South University; Department of Mathematics, Nanjing University of Science and Technology; Chongqing University of Posts and Telecommunications; Institute of Science and Technology for Brain-inspired Intelligence, Fudan University; School of Engineering, China Pharmaceutical University; Shanghai University

创建时间：

2020-04-20