ID-Seg: an infant deep learning-based segmentation framework to improve limbic structure estimates

Infant brain magnetic resonance imaging (MRI) is a promising approach for studying early neurodevelopment. However, segmenting small regions such as limbic structures is challenging due to their low inter-regional contrast and high curvature. MRI studies of the adult brain have successfully applied...

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Detalles Bibliográficos
Autores principales: Wang, Yun, Haghpanah, Fateme Sadat, Zhang, Xuzhe, Santamaria, Katie, da Costa Aguiar Alves, Gabriela Koch, Bruno, Elizabeth, Aw, Natalie, Maddocks, Alexis, Duarte, Cristiane S., Monk, Catherine, Laine, Andrew, Posner, Jonathan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9148335/
https://www.ncbi.nlm.nih.gov/pubmed/35633447
http://dx.doi.org/10.1186/s40708-022-00161-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9148335/
https://www.ncbi.nlm.nih.gov/pubmed/35633447
http://dx.doi.org/10.1186/s40708-022-00161-9

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