aMAP is a validated pipeline for registration and segmentation of high-resolution mouse brain data
Anatomical segmentation of high-resolution 3D microscopy datasets is necessary to map large samples at cellular resolution. Here the authors present a pipeline for automated mouse atlas propagation (aMAP) to segment fluorescence images of the adult mouse brain and validate it against human segmentat...
Guardado en:
Autores principales: | Christian J. Niedworok, Alexander P. Y. Brown, M. Jorge Cardoso, Pavel Osten, Sebastien Ourselin, Marc Modat, Troy W. Margrie |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Nature Portfolio
2016
|
Materias: | |
Acceso en línea: | https://doaj.org/article/84dc07594c574017bccfa315fa0d6d5f |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Using manifold learning for atlas selection in multi-atlas segmentation.
por: Albert K Hoang Duc, et al.
Publicado: (2013) -
Analysis of segmentation ontology reveals the similarities and differences in connectivity onto L2/3 neurons in mouse V1
por: Alexander P. Y. Brown, et al.
Publicado: (2021) -
Dual roles of AMAP1 in the transcriptional regulation and intracellular trafficking of carbonic anhydrase IX
por: Mei Horikawa, et al.
Publicado: (2022) -
Volumetric MRI is a promising outcome measure of muscle reinnervation
por: Matthew Wilcox, et al.
Publicado: (2021) -
Jurisprudencia registral /
Publicado: (2014)