DENSEN: a convolutional neural network for estimating chronological ages from panoramic radiographs

BACKGROUND: Age estimation from panoramic radiographs is a fundamental task in forensic sciences. Previous age assessment studies mainly focused on juvenile rather than elderly populations (> 25 years old). Most proposed studies were statistical or scoring-based, requiring wet-lab experiments and...

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Detalles Bibliográficos
Autores principales: Wang, Xuedong, Liu, Yanle, Miao, Xinyao, Chen, Yin, Cao, Xiao, Zhang, Yuchen, Li, Shuaicheng, Zhou, Qin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Methodology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9569056/
https://www.ncbi.nlm.nih.gov/pubmed/36241969
http://dx.doi.org/10.1186/s12859-022-04935-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9569056/
https://www.ncbi.nlm.nih.gov/pubmed/36241969
http://dx.doi.org/10.1186/s12859-022-04935-0

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