ISLES 2016 and 2017-Benchmarking ischemic stroke lesion outcome prediction based on multispectral MRI

Performance of models highly depend not only on the used algorithm but also the data set it was applied to. This makes the comparison of newly developed tools to previously published approaches difficult. Either researchers need to implement others' algorithms first, to establish an adequate be...

Full description

Bibliographic Details
Main Author: Winzeck, Stefan (author)
Other Authors: Hakim, Arsany (author), McKinley, Richard (author), Pinto, José A. A. D. S. R. (author), Alves, Victor (author), Silva, Carlos A. (author), Pisov, Maxim (author), Krivov, Egor (author), Belyaev, Mikhail (author), Monteiro, Miguel (author), Oliveira, Arlindo (author), Choi, Youngwon (author), Paik, Myunghee Cho (author), Kwon, Yongchan (author), Lee, Hanbyul (author), Kim, Beom Joon (author), Won, Joong-Ho (author), Islam, Mobarakol (author), Ren, Hongliang (author), Robben, David (author), Suetens, Paul (author), Gong, Enhao (author), Niu, Yilin (author), Xu, Junshen (author), Pauly, John M. (author), Lucas, Christian (author), Heinrich, Mattias P. (author), Rivera, Luis C. (author), Castillo, Laura S. (author), Daza, Laura A. (author), Beers, Andrew L. (author), Arbelaezs, Pablo (author), Maier, Oskar (author), Chang, Ken (author), Brown, James M. (author), Kalpathy-Cramer, Jayashree (author), Zaharchuk, Greg (author), Wiest, Roland (author), Reyes, Mauricio (author)
Format: article
Language:eng
Published: 2018
Subjects:
stroke
stroke outcome
machine learning
deep learning
benchmarking
datasets
MRI
prediction models
Science & Technology
Online Access:http://hdl.handle.net/1822/65827
Country:Portugal
Oai:oai:repositorium.sdum.uminho.pt:1822/65827

Internet

http://hdl.handle.net/1822/65827

Similar Items