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On variational solutions for whole brain serial-section histology using a Sobolev prior in the computational anatomy random orbit model
This paper presents a variational framework for dense diffeomorphic atlas-mapping onto high-throughput histology stacks at the 20 μm meso-scale. The observed sections are modelled as Gaussian random fields conditioned on a sequence of unknown section by section rigid motions and unknown diffeomorphi...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6324828/ https://www.ncbi.nlm.nih.gov/pubmed/30586384 http://dx.doi.org/10.1371/journal.pcbi.1006610 |