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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...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2022
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| Materias: | |
| 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 |