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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.

Αποθηκεύτηκε σε:
Λεπτομέρειες βιβλιογραφικής εγγραφής
Τόπος έκδοσης:Radiol Artif Intell
Κύριοι συγγραφείς: 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
Μορφή: Artigo
Γλώσσα:Inglês
Έκδοση: Radiological Society of North America 2020
Θέματα:
Διαθέσιμο Online: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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