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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Vydáno v:Radiol Artif Intell
Hlavní autoři: 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
Médium: Artigo
Jazyk:Inglês
Vydáno: Radiological Society of North America 2020
Témata:
Data Resources
On-line přístup: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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