Gender estimation using machine learning algorithms and artificial neural networks based on parameters obtained from the sphenoid sinus.

Objective: The aim of this study is to estimate gender using parameters obtained from the sphenoid sinus in computed tomography (CT) images, utilizing Machine Learning (ML) algorithms and Artificial Neural Networks (ANNs). Method: In this study, length, width, and volume measurements of the sphenoid...

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Bibliographic Details

Published in:	Cirugía y Cirujanos Vol. 94; no. 1; pp. 93 - 100
Main Authors:	Harmandaoglu, Oguzhan, Secgin, Yusuf, Kaya, Seren, Senol, Deniz, Oner, Zulal, Onbas, Omer
Format:	Article
Published:	Publicidad Permanyer SLU jan/feb2026
Subjects:	Machine learning Artificial neural networks Morphometrics Classification algorithms Sphenoid sinus Diagnostic sex determination Computed tomography
Online Access:	View this record in EBSCOhost