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

Overview

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

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

publication date

  • April 29, 2020

Identity

PubMed Central ID

  • PMC8082297

Scopus Document Identifier

  • 85112725947

Digital Object Identifier (DOI)

  • 10.1148/ryai.2020190211

PubMed ID

  • 33937827

Additional Document Info

volume

  • 2

issue

  • 3