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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Detalles Bibliográficos
Autores principales: 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: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Data Descriptor
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8260784/
https://www.ncbi.nlm.nih.gov/pubmed/34230489
http://dx.doi.org/10.1038/s41597-021-00946-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8260784/
https://www.ncbi.nlm.nih.gov/pubmed/34230489
http://dx.doi.org/10.1038/s41597-021-00946-3

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