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This paper describes BIMCV COVID-19+, a large dataset from the ValencianRegion Medical ImageBank (BIMCV) containing chest X-ray images CXR (CR, DX) andcomputed tomography (CT) imaging of COVID-19+ patients along with theirradiological findings and locations, pathologies, radiological reports (inSpanish), DICOM metadata, Polymerase chain reaction (PCR), Immunoglobulin G(IgG) and Immunoglobulin M (IgM) diagnostic antibody tests. The findings havebeen mapped onto standard Unified Medical Language System (UMLS) terminologyand cover a wide spectrum of thoracic entities, unlike the considerably morereduced number of entities annotated in previous datasets. Images are stored inhigh resolution and entities are localized with anatomical labels and stored ina Medical Imaging Data Structure (MIDS) format. In addition, 10 images wereannotated by a team of radiologists to include semantic segmentation ofradiological findings. This first iteration of the database includes 1,380 CX,885 DX and 163 CT studies from 1,311 COVID-19+ patients. This is, to the bestof our knowledge, the largest COVID-19+ dataset of images available in an openformat. The dataset can be downloaded fromhttp://bimcv.cipf.es/bimcv-projects/bimcv-covid19.

BIMCV COVID-19+: a large annotated dataset of RX and CT images from COVID-19 patients