Learning the Effect of Registration Hyperparameters with HyperMorph

We introduce HyperMorph, a framework that facilitates efficient hyperparameter tuning in learning-based deformable image registration. Classical registration algorithms perform an iterative pair-wise optimization to compute a deformation field that aligns two images. Recent learning-based approaches...

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Detalles Bibliográficos
Autores principales: Hoopes, Andrew, Hoffmann, Malte, Greve, Douglas N., Fischl, Bruce, Guttag, John, Dalca, Adrian V.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9491317/
https://www.ncbi.nlm.nih.gov/pubmed/36147449

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9491317/
https://www.ncbi.nlm.nih.gov/pubmed/36147449

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