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Construction of a Machine Learning Dataset through Collaboration: The RSNA 2019 Brain CT Hemorrhage Challenge.
- Flanders, Adam;
- Prevedello, Luciano;
- Shih, George;
- Halabi, Safwan;
- Kalpathy-Cramer, Jayashree;
- Ball, Robyn;
- Mongan, John;
- Stein, Anouk;
- Kitamura, Felipe;
- Lungren, Matthew;
- 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;
- Nath, Jaya
- et al.
Published Web Location
https://doi.org/10.1148/ryai.2020190211Abstract
This dataset is composed of annotations of the five hemorrhage subtypes (subarachnoid, intraventricular, subdural, epidural, and intraparenchymal hemorrhage) typically encountered at brain CT.
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