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Dental anomaly detection using intraoral photos via deep learning
Children with orofacial clefting (OFC) present with a wide range of dental anomalies. Identifying these anomalies is vital to understand their etiology and to discern the complex phenotypic spectrum of OFC. Such anomalies are currently identified using intra-oral exams by dentists, a costly and time...
Autores principales: | Ragodos, Ronilo, Wang, Tong, Padilla, Carmencita, Hecht, Jacqueline T., Poletta, Fernando A., Orioli, Iêda M., Buxó, Carmen J., Butali, Azeez, Valencia-Ramirez, Consuelo, Restrepo Muñeton, Claudia, Wehby, George L., Weinberg, Seth M., Marazita, Mary L., Moreno Uribe, Lina M., Howe, Brian J. |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9270352/ https://www.ncbi.nlm.nih.gov/pubmed/35804050 http://dx.doi.org/10.1038/s41598-022-15788-1 |
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