Data-driven cranial suture growth model enables predicting phenotypes of craniosynostosis
Abstract We present the first data-driven pediatric model that explains cranial sutural growth in the pediatric population. We segmented the cranial bones in the neurocranium from the cross-sectional CT images of 2068 normative subjects (age 0–10 years), and we used a 2D manifold-based cranial repre...
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| Principais autores: | , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Nature Portfolio
2023-11-01
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| coleção: | Scientific Reports |
| Acesso em linha: | https://doi.org/10.1038/s41598-023-47622-7 |
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