Enhancing sex determination in forensic anthropology: A comparative analysis of cranial measurements using artificial neural network

Enhancing sex determination in forensic anthropology: A comparative analysis of cranial measurements using artificial neural network

The increasing reliance on machine learning (ML) techniques in forensic anthropology underscores the imperative to enhance the accuracy and objectivity of sex estimation from skeletal remains. Traditional methods often suffer from subjectivity and variability, prompting a shift towards morphometric...

Full description

Saved in:
Bibliographic Details
Main Authors: Matheus Jhonnata Santos Mota, Alberto Calson Alves Vieira, Lucas Silva Lima, João Victor Melquiades Sátiro, Carlos Mathias de Menezes Neto, Patrízia Lisieux Prado Paixão, Gabriel Pedro Gonçalves Lopes, Lauro Roberto de Azevedo Setton, Carlos Eduardo de Andrade, Richard Halti Cabral
Format: Article
Language:English
Published: Elsevier 2025-12-01
Series:Forensic Science International: Reports
Subjects:
Regression analysis
Forensic anthropology
Machine learning
Cephalometry
Sex determination from the skeleton
Online Access:http://www.sciencedirect.com/science/article/pii/S2665910725000180
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

http://www.sciencedirect.com/science/article/pii/S2665910725000180

Similar Items