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.

Gorde:
Xehetasun bibliografikoak
Argitaratua izan da:Radiol Artif Intell
Egile Nagusiak: 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
Formatua: Artigo
Hizkuntza:Inglês
Argitaratua: Radiological Society of North America 2020
Gaiak:
Data Resources
Sarrera elektronikoa: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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