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

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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Библиографические подробности
Опубликовано в: :Radiol Artif Intell
Главные авторы: 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
Формат: Artigo
Язык:Inglês
Опубликовано: Radiological Society of North America 2020
Предметы:
Online-ссылка:https://ncbi.nlm.nih.gov/pmc/articles/PMC8082297/
https://ncbi.nlm.nih.gov/pubmed/33937827
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1148/ryai.2020190211
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