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

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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Bibliographic Details
Main Authors: R. Jarrett Rushmore, Kyle Sunderland, Holly Carrington, Justine Chen, Michael Halle, Andras Lasso, G. Papadimitriou, N. Prunier, Elizabeth Rizzoni, Brynn Vessey, Peter Wilson-Braun, Yogesh Rathi, Marek Kubicki, Sylvain Bouix, Edward Yeterian, Nikos Makris
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-09-01
Series:Frontiers in Neuroanatomy
Subjects:
MRI
atlas
HOA
subcortical
open science
ontology
Online Access:https://www.frontiersin.org/articles/10.3389/fnana.2022.894606/full

Internet

https://www.frontiersin.org/articles/10.3389/fnana.2022.894606/full

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