Sex and age estimation with machine learning algorithms with parameters obtained from cone beam computed tomography images of maxillary first molar and canine teeth

Abstract Background The aim of this study is to obtain a highly accurate and objective sex and age estimation by using the parameters of maxillary molar and canine teeth obtained from cone beam computed tomography images in the input of machine learning algorithms. Cone beam computed tomography imag...

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Bibliographic Details
Main Authors: Deniz Senol, Yusuf Secgin, Burak Suayip Duman, Seyma Toy, Zulal Oner
Format: Article
Language:English
Published: SpringerOpen 2023-06-01
Series:Egyptian Journal of Forensic Sciences
Subjects:
Online Access:https://doi.org/10.1186/s41935-023-00346-1