Construction of a Machine Learning Dataset through Collaboration: The RSNA 2019 Brain CT Hemorrhage Challenge
Adam E. Flanders, Luciano M. Prevedello, George Shih, Safwan S. Halabi, Jayashree Kalpathy–Cramer, Robyn L. Ball, John Mongan, Anouk Stein, Felipe Kitamura, Matthew P. Lungren, Gagandeep Choudhary, Lesley Cala, Luiz Coelho, Monique A. Mogensen, Fanny Morón, Elka Miller, Ichiro Ikuta, Vahe M. Zohrabian, Olivia McDonnell, Christie M. Lincoln, Lubdha M. Shah, David Joyner, Amit Agarwal, Ryan K. Lee, Jaya Nath, For the RSNA-ASNR 2019 Brain Hemorrhage CT Annotators
Abstract
This dataset is composed of annotations of the five hemorrhage subtypes (subarachnoid, intraventricular, subdural, epidural, and intraparenchymal hemorrhage) typically encountered at brain CT.
Topics & Concepts
MedicineGeorge (robot)Nuclear medicineLibrary scienceArt historyArtComputer scienceIntracerebral and Subarachnoid Hemorrhage ResearchMachine Learning in HealthcareRadiomics and Machine Learning in Medical Imaging