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An automatic multi-tissue human fetal brain segmentation benchmark using the Fetal Tissue Annotation Dataset

It is critical to quantitatively analyse the developing human fetal brain in order to fully understand neurodevelopment in both normal fetuses and those with congenital disorders. To facilitate this analysis, automatic multi-tissue fetal brain segmentation algorithms are needed, which in turn requir...

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Detalhes bibliográficos
Publicado no:Sci Data
Main Authors: Payette, Kelly, de Dumast, Priscille, Kebiri, Hamza, Ezhov, Ivan, Paetzold, Johannes C., Shit, Suprosanna, Iqbal, Asim, Khan, Romesa, Kottke, Raimund, Grehten, Patrice, Ji, Hui, Lanczi, Levente, Nagy, Marianna, Beresova, Monika, Nguyen, Thi Dao, Natalucci, Giancarlo, Karayannis, Theofanis, Menze, Bjoern, Bach Cuadra, Meritxell, Jakab, Andras
Formato: Artigo
Idioma:Inglês
Publicado em: Nature Publishing Group UK 2021
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Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC8260784/
https://ncbi.nlm.nih.gov/pubmed/34230489
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41597-021-00946-3
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