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

Journal: Radiology. Artificial intelligence
Published Date: Apr 29, 2020

Abstract

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

Authors

  • Adam E Flanders
  • Luciano M Prevedello
  • George Shih
  • Safwan S Halabi
  • Jayashree Kalpathy-Cramer
    Department of Radiology, MGH/Harvard Medical School, Charlestown, Massachusetts.
  • Robyn Ball
  • John T Mongan
  • Anouk Stein
  • Felipe C Kitamura
  • Matthew P Lungren
  • Gagandeep Choudhary
  • Lesley Cala
  • Luiz Coelho
  • Monique Mogensen
  • Fanny Morón
  • Elka Miller
  • Ichiro Ikuta
  • Vahe Zohrabian
  • Olivia McDonnell
  • Christie Lincoln
  • Lubdha Shah
  • David Joyner
  • Amit Agarwal
  • Ryan K Lee
  • Jaya Nath

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