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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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Dettagli Bibliografici
Pubblicato in:Sci Data
Autori principali: 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
Natura: Artigo
Lingua:Inglês
Pubblicazione: Nature Publishing Group UK 2021
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Accesso online: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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