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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...
| Autores principales: | , , , , , , , , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2022
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| Materias: | |
| 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 |