Anatomically curated segmentation of human subcortical structures in high resolution magnetic resonance imaging: An open science approach

Magnetic resonance imaging (MRI)-based brain segmentation has recently been revolutionized by deep learning methods. These methods use large numbers of annotated segmentations to train algorithms that have the potential to perform brain segmentations reliably and quickly. However, training data for...

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Detalles Bibliográficos
Autores principales: Rushmore, R. Jarrett, Sunderland, Kyle, Carrington, Holly, Chen, Justine, Halle, Michael, Lasso, Andras, Papadimitriou, G., Prunier, N., Rizzoni, Elizabeth, Vessey, Brynn, Wilson-Braun, Peter, Rathi, Yogesh, Kubicki, Marek, Bouix, Sylvain, Yeterian, Edward, Makris, Nikos
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Neuroanatomy
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9562126/
https://www.ncbi.nlm.nih.gov/pubmed/36249866
http://dx.doi.org/10.3389/fnana.2022.894606

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9562126/
https://www.ncbi.nlm.nih.gov/pubmed/36249866
http://dx.doi.org/10.3389/fnana.2022.894606

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