Estimating Age and Sex from Dental Panoramic Radiographs Using Neural Networks and Vision–Language Models

Estimating Age and Sex from Dental Panoramic Radiographs Using Neural Networks and Vision–Language Models

<b>Purpose:</b> The purpose of this study was to compare multiple deep learning models for estimating age and sex using dental panoramic radiographs and identify the most successful deep learning models for the specified tasks. <b>Methods:</b> The dataset of 437 panoramic rad...

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Bibliographic Details
Main Authors: Salem Shamsul Alam, Nabila Rashid, Tasfia Azrin Faiza, Saif Ahmed, Rifat Ahmed Hassan, James Dudley, Taseef Hasan Farook
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Oral
Subjects:
age regression
orthopantomograms
convolutional neural networks
vision–language model
random oversampling
Online Access:https://www.mdpi.com/2673-6373/5/1/3
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