Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Apigenin restricts FMDV infection and inhibits viral IRES driven translational activity.

Viruses·2015
Same author

Diffraction in a stratified region of a high numerical aperture Fresnel zone plate: a simple and rigorous integral representation.

Optics express·2015
Same author

Comparative Genetics of Seed Size Traits in Divergent Cereal Lineages Represented by Sorghum (Panicoidae) and Rice (Oryzoidae).

G3 (Bethesda, Md.)·2015
Same author

[Recent Researches on Optical in vivo Imaging: a review].

Zhongguo Zhong xi yi jie he za zhi Zhongguo Zhongxiyi jiehe zazhi = Chinese journal of integrated traditional and Western medicine·2015
Same author

[An analysis of relevant factors influencing the prognosis of post cardiac arrest syndrome].

Zhonghua wei zhong bing ji jiu yi xue·2015
Same author

Transparent ALD-grown Ta2O5 protective layer for highly stable ZnO photoelectrode in solar water splitting.

Chemical communications (Cambridge, England)·2015
Same journal

Technical note: Development of a UHPLC-MS/MS method for the analysis of hCG and IGF-I from dried blood spots: A preliminary study.

Forensic science international·2026
Same journal

A novel and robust deep learning model for sibling firearm matching.

Forensic science international·2026
Same journal

Changes in C-reactive protein levels over time in high-temperature environments using postmortem blood.

Forensic science international·2026
Same journal

Insights from the first synthetic cannabinoid clandestine lab dismantled in Brazil.

Forensic science international·2026
Same journal

Determination of the new psychoactive substances MDMB-4en-PINACA, ADB-BUTINACA and some of their metabolites in blood and urine using DLLE-LC-MS/MS: application to real forensic case samples.

Forensic science international·2026
Same journal

The revolver halo as a forensic marker: Raman spectroscopic evidence of primer-driven gunshot residue deposition.

Forensic science international·2026
See all related articles

Related Experiment Video

Updated: Aug 1, 2025

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography
04:48

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography

Published on: November 30, 2022

2.8K

Automatic sex estimation using deep convolutional neural network based on orthopantomogram images.

Wen-Qing Bu1, Yu-Xin Guo2, Dong Zhang3

  • 1Key Laboratory of Shaanxi Province for Craniofacial Precision Medicine Research, College of Stomatology, Xi'an Jiaotong University, 98 XiWu Road, Xi'an 710004, Shaanxi, People's Republic of China; Department of Orthodontics, Stomatological Hospital of Xi'an Jiaotong University, 98 XiWu Road, Xi'an 710004, Shaanxi, People's Republic of China.

Forensic Science International
|April 24, 2023
PubMed
Summary
This summary is machine-generated.

This study developed an artificial intelligence (AI) model using deep learning and orthopantomograms (OPG) for sex estimation. The AI model achieved higher accuracy in estimating sex for adults compared to minors.

Keywords:
Deep learningForensic odontologyIndividual identificationOrthopantomogram imagesSex estimation

More Related Videos

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications
03:31

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

Published on: December 15, 2023

592
Author Spotlight: Revolutionizing Remote Surgery with Augmented Reality and Robotics for Enhanced Precision and Accessibility
07:46

Author Spotlight: Revolutionizing Remote Surgery with Augmented Reality and Robotics for Enhanced Precision and Accessibility

Published on: August 9, 2024

793

Related Experiment Videos

Last Updated: Aug 1, 2025

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography
04:48

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography

Published on: November 30, 2022

2.8K
Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications
03:31

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

Published on: December 15, 2023

592
Author Spotlight: Revolutionizing Remote Surgery with Augmented Reality and Robotics for Enhanced Precision and Accessibility
07:46

Author Spotlight: Revolutionizing Remote Surgery with Augmented Reality and Robotics for Enhanced Precision and Accessibility

Published on: August 9, 2024

793

Area of Science:

  • Forensic Anthropology
  • Medical Imaging
  • Artificial Intelligence

Background:

  • Sex estimation is crucial for individual identification in forensic science.
  • Traditional methods rely on morphological measurements of anatomical structures.
  • Craniofacial hard tissue morphology exhibits sexual dimorphism, influenced by sex chromosome genes.

Purpose of the Study:

  • To develop a labor-saving, rapid, and accurate AI-based method for sex estimation.
  • To investigate the efficacy of a deep learning model using orthopantomograms (OPG).
  • To assess the model's performance across different age groups (adults vs. minors).

Main Methods:

  • A convolutional neural network (CNN) model was trained and validated on a large dataset of 10703 OPG images from northern Chinese subjects.
  • The dataset was divided into training (80%), validation (10%), and test (10%) sets.
  • Performance was compared between adults and minors using different age thresholds.

Main Results:

  • The CNN model demonstrated high accuracy in sex estimation.
  • Accuracy for adults reached 90.97%, while for minors it was 82.64%.
  • The model showed favorable performance and practical significance for adult sex estimation.

Conclusions:

  • The AI model, trained on a large OPG dataset, is effective for automatic morphological sex estimation in forensic applications.
  • The model offers significant practical utility for identifying adults in northern China.
  • It also provides a valuable reference for sex estimation in minors.