Medical Imaging Data Resource Center - RSNA International COVID Radiology Database Release 1a - Chest CT Covid+ (MIDRC-RICORD-1a)

The COVID-19 pandemic is a global healthcare emergency. Prediction models for COVID-19 imaging are rapidly being developed to support medical decision making in imaging. However, inadequate availability of a diverse annotated dataset has limited the performance and generalizability of existing models. Purpose The Radiological Society of North America (RSNA) set out to create the RSNA International COVID-19 Open Radiology Database (RICORD), the first multi-institutional, multi-national expert annotated COVID-19 imaging dataset made freely available to the machine learning community as a research and educational resource for COVID-19 imaging. RICORD data will be published as part of the Medical Imaging and Data Resource Center (MIDRC), a multi-institutional research data repository funded by the National Institute of Biomedical Imaging and Bioengineering of the National Institutes of Health. Materials and Methods MIDRC-RICORD dataset 1a was created through a collaboration between the RSNA and the Society of Thoracic Radiology (STR).

新型冠状病毒肺炎（COVID-19）疫情是一场全球性医疗卫生紧急事件。目前，针对新冠影像学的预测模型正快速研发，以助力影像学领域的临床决策。然而，多样化标注数据集的可用性不足，限制了现有模型的性能与泛化能力。
研究目的：北美放射学会（Radiological Society of North America, RSNA）着手打造RSNA国际新冠开放放射学数据库（RICORD）——这是首个多机构、跨国的专家标注型新冠影像学数据集，将作为新冠影像学研究与教育资源，免费向机器学习社区开放。RICORD数据集将作为医学影像与数据资源中心（Medical Imaging and Data Resource Center, MIDRC）的组成部分发布。该中心是由美国国立卫生研究院下属的国立生物医学成像与生物工程研究所资助的多机构研究数据存储库。
材料与方法：MIDRC-RICORD 1a数据集由北美放射学会与胸放射学会（Society of Thoracic Radiology, STR）合作构建。