Weakly-supervised convolutional neural networks for multimodal image registration

One of the fundamental challenges in supervised learning for multimodal image registration is the lack of ground-truth for voxel-level spatial correspondence. This work describes a method to infer voxel-level transformation from higher-level correspondence information contained in anatomical labels....

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Detalles Bibliográficos
Autores principales: Hu, Yipeng, Modat, Marc, Gibson, Eli, Li, Wenqi, Ghavami, Nooshin, Bonmati, Ester, Wang, Guotai, Bandula, Steven, Moore, Caroline M., Emberton, Mark, Ourselin, Sébastien, Noble, J. Alison, Barratt, Dean C., Vercauteren, Tom
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6742510/
https://www.ncbi.nlm.nih.gov/pubmed/30007253
http://dx.doi.org/10.1016/j.media.2018.07.002

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6742510/
https://www.ncbi.nlm.nih.gov/pubmed/30007253
http://dx.doi.org/10.1016/j.media.2018.07.002

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