prikaz prve stranice dokumenta Construction of a Machine Learning Dataset through Collaboration: The RSNA 2019 Brain CT Hemorrhage Challenge
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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

Institutional repository: Repository of the University of Rijeka, Faculty of Medicine

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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 26];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: 26 June 2024]

Metadata
Title (english)Construction of a Machine Learning Dataset through Collaboration: The RSNA 2019 Brain CT Hemorrhage Challenge
AuthorAdam E. Flanders
AuthorMonique ... Mogensen
AuthorFanny Morón
AuthorElka Miller
AuthorIchiro Ikuta
AuthorVahe Zohrabian
AuthorOlivia McDonnell
AuthorJaya ... Nath
AuthorZoran Rumboldt
CollaborationRSNA-ASNR 2019 Brain Hemorrhage CT Annotators
Author's institutionUniversity of Rijeka
Faculty of Medicine
(Department of Radiology)
Scientific / art field,
discipline and subdiscipline		BIOMEDICINE AND HEALTHCARE
Clinical Medical Sciences
Abstract (english)
This dataset is composed of annotations of the five hemorrhage subtypes (subarachnoid, intraventricular, subdural, epidural, and intraparenchymal hemorrhage) typically encountered at brain CT.
Keywords (english)
Languageenglish
Publication typeScientific paper - Original scientific paper
Publication statusPublished
Peer reviewPeer review - international
Publication versionPublished version
Journal titleRadiology: Artificial Intelligence
Numberingvol. 2, no. 3, pp. 1-8
e-ISSN2638-6100
DOIhttps://doi.org/10.1148/ryai.2020190211
URN:NBNurn:nbn:hr:184:272087
Publication2020-05-01
Document URLhttp://pubs.rsna.org/doi/10.1148/ryai.2020190211
Type of resourceText
Access conditionsOpen access
Terms of useLicence Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) icon
Created on2022-03-16 08:15:13