The research group led by María de la Iglesia-Vayá of the Foundation for the Promotion of Health and Biomedical Research in the Valencian Community (FISABIO) in the DeepHealth Consortia, has published a large annotated open dataset of RX and CT images of COVID19 patients.
The BIMCV COVID-19+ dataset is a large open multi-institutional databank that provides the open scientific community with data of clinical-scientific value that will help the early detection and evolution of COVID-19. Given the current COVID-19 pandemic, both speed and efficiency in developing accurate medical solutions are key factors that will enable them to reach the clinical environment in the shortest possible time. Making the information accessible to the scientific community worldwide will undoubtedly maximize the usefulness of the data and its exploitation for training predictive models, also within the DeepHealth Project to test and validate DeepHealth libraries.
This first iteration of the database includes 1,380 chest X-ray images CXR, 885 images DX and 163 computed tomography studies from 1,311 COVID-19+ patients. This is, to the best of our knowledge, the largest COVID-19+ dataset of images available in an open format, specifically Medical Imaging Data Structure (MIDS); more iterations will be made available to the scientific community shortly.