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NIMG-68. FEDERATED LEARNING IN NEURO-ONCOLOGY FOR MULTI-INSTITUTIONAL COLLABORATIONS WITHOUT SHARING PATIENT DATA

BACKGROUND: Training deep learning algorithms requires large amounts of data, which is a significant challenge in the medical domain, and particularly in neuro-oncology, where ample data can only be found in multi-institutional collaborations. The current paradigm for multi-institutional collaborati...

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Detalhes bibliográficos
Publicado no:Neuro Oncol
Main Authors: Sheller, Micah, Edwards, Brandon, Anthony Reina, G, Martin, Jason, Bakas, Spyridon
Formato: Artigo
Idioma:Inglês
Publicado em: Oxford University Press 2019
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Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC6847543/
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/neuonc/noz175.737
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