Pregled bibliografske jedinice broj: 1185262
Construction of a Machine Learning Dataset through Collaboration: The RSNA 2019 Brain CT Hemorrhage Challenge
Construction of a Machine Learning Dataset through Collaboration: The RSNA 2019 Brain CT Hemorrhage Challenge // Radiology: Artificial Intelligence, 2 (2020), 3; 1-8 doi:10.1148/ryai.2020190211 (međunarodna recenzija, članak, znanstveni)
CROSBI ID: 1185262 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Construction of a Machine Learning Dataset through
Collaboration: The RSNA 2019 Brain CT Hemorrhage
Challenge
Autori
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 ; For the RSNA-ASNR 2019 Brain Hemorrhage CT Annotators
Kolaboracija
RSNA-ASNR 2019 Brain Hemorrhage CT Annotators
Izvornik
Radiology: Artificial Intelligence (2638-6100) 2
(2020), 3;
1-8
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni
Ključne riječi
Intracranial Hemorrhages ; Brain ; Stroke ; Vascular Malformations ;
Sažetak
This dataset is composed of annotations of the five hemorrhage subtypes (subarachnoid, intraventricular, subdural, epidural, and intraparenchymal hemorrhage) typically encountered at brain CT.
Izvorni jezik
Engleski
Znanstvena područja
Kliničke medicinske znanosti