Scientific paper - Original scientific paper
Construction of a Machine Learning Dataset through Collaboration: The RSNA 2019 Brain CT Hemorrhage Challenge
Radiology: Artificial Intelligence, 2 (2020), 3; 1-8. https://doi.org/10.1148/ryai.2020190211

(RSNA-ASNR 2019 Brain Hemorrhage CT Annotators) Flanders, Adam E.; ... Mogensen, Monique; Morón, Fanny; Miller, Elka; Ikuta, Ichiro; Zohrabian, Vahe; McDonnell, Olivia; ... Nath, Jaya; Rumboldt, Zoran

Cite this document

Flanders, A. E., ... Mogensen, M., Morón, F., Miller, E., Ikuta, I., Zohrabian, V. ... Rumboldt, Z. (2020). Construction of a Machine Learning Dataset through Collaboration: The RSNA 2019 Brain CT Hemorrhage Challenge. Radiology: Artificial Intelligence, 2. (3), 1-8. doi: 10.1148/ryai.2020190211

Flanders, Adam E., et al. "Construction of a Machine Learning Dataset through Collaboration: The RSNA 2019 Brain CT Hemorrhage Challenge." Radiology: Artificial Intelligence, vol. 2, no. 3, 2020, pp. 1-8. https://doi.org/10.1148/ryai.2020190211

Flanders, Adam E., Monique ... Mogensen, Fanny Morón, Elka Miller, Ichiro Ikuta, Vahe Zohrabian, Olivia McDonnell, Jaya ... Nath and Zoran Rumboldt. "Construction of a Machine Learning Dataset through Collaboration: The RSNA 2019 Brain CT Hemorrhage Challenge." Radiology: Artificial Intelligence 2, no. 3 (2020): 1-8. https://doi.org/10.1148/ryai.2020190211

Flanders, A. E., et al. (2020) 'Construction of a Machine Learning Dataset through Collaboration: The RSNA 2019 Brain CT Hemorrhage Challenge', Radiology: Artificial Intelligence, 2(3), pp. 1-8. doi: 10.1148/ryai.2020190211

Flanders AE, ... Mogensen M, Morón F, Miller E, Ikuta I, Zohrabian V, and sur.. Construction of a Machine Learning Dataset through Collaboration: The RSNA 2019 Brain CT Hemorrhage Challenge. Radiology: Artificial Intelligence [Internet]. 2020 May 01 [cited 2024 June 17];2(3):1-8. doi: 10.1148/ryai.2020190211

A. E. Flanders, et al., "Construction of a Machine Learning Dataset through Collaboration: The RSNA 2019 Brain CT Hemorrhage Challenge", Radiology: Artificial Intelligence, vol. 2, no. 3, pp. 1-8, May 2020. [Online]. Available at: https://urn.nsk.hr/urn:nbn:hr:184:272087. [Accessed: 17 June 2024]