Comparison of mandibular morphometric parameters in digital panoramic radiography in gender determination using machine learning.

Objective: This study aimed to evaluate the usability of morphometric features obtained from mandibular panoramic radiographs in gender determination using machine learning algorithms. Materials and methods: High-resolution radiographs of 200 patients aged 20–77 (41.0 ± 12.7) were included in the st...

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Bibliographic Details

Published in:	Oral Radiology Vol. 40; no. 3; pp. 415 - 424
Main Authors:	Pertek, Hanife, Kamaşak, Mustafa, Kotan, Soner, Hatipoğlu, Fatma Pertek, Hatipoğlu, Ömer, Köse, Taha Emre
Format:	diagnostic images research tables/charts Journal Article
Published:	Springer Nature Jul2024
Online Access:	View this record in EBSCOhost