Top left: image showing the Regions of Interest (ROIs) regarding ground glass opacities (green) and consolidations (purple) as marked by a trained radiologist. Table 1: Example of an image from the dataset and its associated information. Locations: costophrenic angle, lobar, bilateral, lower lobe Labels: COVID 19, alveolar pattern, interstitial pattern, pneumonia Report: opacidades de aspecto intersticioalveolar parcheadas y bilaterales que predominan en ambos lobulos inferiores sospechosas de infeccion por COVID-19. (), Antonio Pertusa (), Aurelia Bustos (),ĭomingo Orozco-Beltrán (), Germán Gonzalez (), Jose Maria Salinas () *corresponding authors: Maria de la Iglesia Bioinformatics & Biostatistics Unit, Principe Felipe Research Center, Valencia, Spain. Fundación para el Fomento de la Investigación Sanitario y Biomédica de la Comunidad Valenciana. Unidad Mixta de Imagen Biomédica FISABIO-CIPF. This is, to the best of our knowledge, the largest COVID-19+ dataset of images available in an open format. This first iteration of the database includes 1,380 CX, 885 DX and 163 CT studies from 1,311 COVID-19+ patients. In addition, 10 images were annotated by a team of radiologists to include semantic segmentation of radiological findings. Images are stored in high resolution and entities are localized with anatomical labels and stored in a Medical Imaging Data Structure (MIDS) format. The findings have been mapped onto standard Unified Medical Language System (UMLS) terminology and cover a wide spectrum of thoracic entities, unlike the considerably more reduced number of entities annotated in previous datasets.
This paper describes BIMCV COVID-19+, a large dataset from the Valencian Region Medical ImageBank (BIMCV) containing chest X-ray images CXR (CR, DX) and computed tomography (CT) imaging of COVID-19+ patients along with their radiological findings and locations, pathologies, radiological reports (in Spanish), DICOM metadata, Polymerase chain reaction (PCR), Immunoglobulin G (IgG) and Immunoglobulin M (IgM) diagnostic antibody tests.
0 kommentar(er)
