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...

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Detalhes bibliográficos
Autor principal: Winzeck, Stefan (author)
Outros Autores: 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)
Formato: article
Idioma:eng
Publicado em: 2018
Assuntos:
stroke
stroke outcome
machine learning
deep learning
benchmarking
datasets
MRI
prediction models
Science & Technology
Texto completo:http://hdl.handle.net/1822/65827
País:Portugal
Oai:oai:repositorium.sdum.uminho.pt:1822/65827

Texto Completo

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

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