Gender Classification With Hand-Wrist Radiographs Using the Deep Learning Method

Gender Classification With Hand-Wrist Radiographs Using the Deep Learning Method

Objective: Before dental procedures, hand-wrist radiographs are used to plan treatment time and determine skeletal maturity. This study aims to determine gender from hand-wrist radiographs using different deep-learning methods.Methods: The left hand-wrist radiographs of 1044 individuals (534 males a...

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Bibliographic Details
Main Authors: İbrahim Yücel Özbek, Mustafa Taha Güller, Zeynep Turanli Tosun, Nida Kumbasar, Özkan Miloğlu
Format: Article
Language:English
Published: Atatürk University 2025-01-01
Series:Current Research in Dental Sciences
Subjects:
deep learning
image analysis
; hand-wrist radiographs
Online Access:https://dergipark.org.tr/tr/download/article-file/4516648
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