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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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Bibliografski detalji
Izdano u:Radiol Artif Intell
Glavni autori: 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
Format: Artigo
Jezik:Inglês
Izdano: Radiological Society of North America 2020
Teme:
Online pristup: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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