COVID-19 Image Data Collection: Prospective Predictions Are the Future

摘要: Across the world's coronavirus disease 2019 (COVID-19) hot spots, need to streamline patient diagnosis and management has become more pressing than ever. As one of main imaging tools, chest X-rays (CXRs) are common, fast, non-invasive, relatively cheap, potentially bedside monitor progression disease. This paper describes first public COVID-19 image data collection as well a preliminary exploration possible use cases for data. dataset currently contains hundreds frontal view is largest resource prognostic data, making it necessary develop evaluate tools aid in treatment COVID-19. It was manually aggregated from publication figures various web based repositories into machine learning (ML) friendly format with accompanying dataloader code. We collected lateral imagery metadata such time since symptoms, intensive care unit (ICU) status, survival intubation or hospital location. present multiple predicting ICU, survival, understanding patient's trajectory during treatment. Data can be accessed here: this https URL