Convolutional mesh autoencoders for the 3-dimensional identification of FGFR-related craniosynostosis

Clinical diagnosis of craniofacial anomalies requires expert knowledge. Recent studies have shown that artificial intelligence (AI) based facial analysis can match the diagnostic capabilities of expert clinicians in syndrome identification. In general, these systems use 2D images and analyse texture...

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Detalles Bibliográficos
Autores principales: O’ Sullivan, Eimear, van de Lande, Lara S., Papaioannou, Athanasios, Breakey, Richard W. F., Jeelani, N. Owase, Ponniah, Allan, Duncan, Christian, Schievano, Silvia, Khonsari, Roman H., Zafeiriou, Stefanos, Dunaway, David. J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8828904/
https://www.ncbi.nlm.nih.gov/pubmed/35140239
http://dx.doi.org/10.1038/s41598-021-02411-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8828904/
https://www.ncbi.nlm.nih.gov/pubmed/35140239
http://dx.doi.org/10.1038/s41598-021-02411-y

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