Learning a Metric for Multimodal Medical Image Registration without Supervision Based on Cycle Constraints

Deep learning based medical image registration remains very difficult and often fails to improve over its classical counterparts where comprehensive supervision is not available, in particular for large transformations—including rigid alignment. The use of unsupervised, metric-based registration net...

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Detalles Bibliográficos
Autores principales: Siebert, Hanna, Hansen, Lasse, Heinrich, Mattias P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8840694/
https://www.ncbi.nlm.nih.gov/pubmed/35161851
http://dx.doi.org/10.3390/s22031107

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8840694/
https://www.ncbi.nlm.nih.gov/pubmed/35161851
http://dx.doi.org/10.3390/s22031107

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