Determination of sexual dimorphism with CBCT images of the frontal sinus using a predictive formula and an artificial neural network

Determination of sexual dimorphism with CBCT images of the frontal sinus using a predictive formula and an artificial neural network

Abstract Objective this study aims to evaluate the sexual dimorphism of the morphometric features of the frontal sinus via cone beam computed tomography (CBCT) reconstructions, using a predictive formula and an artificial neural network (ANN). Methodology the morphometric features of the frontal...

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Bibliographic Details
Main Authors: Julyana de Araújo OLIVEIRA, Natália Rogério BORELLA, Flávia Maria de Moraes RAMOS-PEREZ, Andrea dos Anjos PONTUAL, Maria Alice Andrade CALAZANS, Felipe Alberto Barbosa Simão FERREIRA, Francisco MADEIRO, Maria Luiza dos Anjos PONTUAL
Format: Article
Language:English
Published: University of São Paulo 2025-06-01
Series:Journal of Applied Oral Science
Subjects:
Frontal sinus
Machine learning
Forensic anthropology
Neural networks
Online Access:http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1678-77572025000100429&lng=en&tlng=en
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