Construction of a Machine Learning Dataset through Collaboration: The RSNA 2019 Brain CT Hemorrhage Challenge

Authors: 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 - Radiology Artificial Intelligence 2020 cited by 208

This dataset is composed of annotations of the five hemorrhage subtypes (subarachnoid, intraventricular, subdural, epidural, and intraparenchymal hemorrhage) typically encountered at brain CT.