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Detecting representative characteristics of different genders using intraoral photographs: a deep learning model with interpretation of gradient-weighted class activation mapping

BACKGROUND: Sexual dimorphism is obvious not only in the overall architecture of human body, but also in intraoral details. Many studies have found a correlation between gender and morphometric features of teeth, such as mesio-distal diameter, buccal-lingual diameter and height. However, it’s still...

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Detalles Bibliográficos
Autores principales: Zhou, Yimei, Jiang, Fulin, Cheng, Fangyuan, Li, Juan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10214706/
https://www.ncbi.nlm.nih.gov/pubmed/37231478
http://dx.doi.org/10.1186/s12903-023-03033-8