BIMCV COVID-19 Dataset

BIMCV-COVID19+ dataset is a large dataset with chest X-ray images CXR (CR, DX) and computed tomography (CT) imaging of COVID-19 patients along with their radiographic findings, pathologies, polymerase chain reaction (PCR), immunoglobulin G (IgG) and immunoglobulin M (IgM) diagnostic antibody tests and radiographic reports from Medical Imaging Databank in Valencian Region Medical Image Bank (BIMCV). The findings are mapped onto standard Unified Medical Language System (UMLS) terminology and they cover a wide spectrum of thoracic entities, contrasting with the much more reduced number of entities annotated in previous datasets. Images are stored in high resolution and entities are localized with anatomical labels in a Medical Imaging Data Structure (MIDS) format. In addition, 23 images were annotated by a team of expert radiologists to include semantic segmentation of radiographic findings. Moreover, extensive information is provided, including the patient’s demographic information, type of projection and acquisition parameters for the imaging study, among others. These iterations of the database include 7,377 CR, 9,463 DX and 6,687 CT studies.

BIMCV-COVID19+ 数据集乃一项庞大的数据集，囊括了COVID-19 患者的胸部X射线图像（CXR，CR，DX）及计算机断层扫描（CT）成像，并附有相应的影像学发现、病理学诊断、聚合酶链式反应（PCR）、免疫球蛋白G（IgG）及免疫球蛋白M（IgM）诊断抗体检测和影像学报告。这些发现已映射至标准化的统一医学语言系统（UMLS）术语，并涵盖广泛的胸部实体，与先前数据集中标注的实体数量相比，范围更为广泛。图像以高分辨率存储，实体在医学影像数据结构（MIDS）格式中通过解剖学标签进行定位。此外，由一支专家放射科医生团队对23幅图像进行了标注，以包括影像学发现的语义分割。更进一步，数据集提供了详尽的信息，包括患者的流行病学信息、成像研究的投影类型和采集参数等。该数据库的版本包括7377例CR、9463例DX和6687例CT研究。