Human identification via digital palatal scans: a machine learning validation pilot study

Human identification via digital palatal scans: a machine learning validation pilot study

Abstract Background This study aims to validate a machine learning algorithm previously developed in a training population on a different randomly chosen population (i.e., test set). The discrimination potential of the palatal intraoral scan-based geometric and superimposition methods was evaluated....

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Bibliographic Details
Main Authors: Ákos Mikolicz, Botond Simon, Aida Roudgari, Arvin Shahbazi, János Vág
Format: Article
Language:English
Published: BMC 2024-11-01
Series:BMC Oral Health
Subjects:
Geometry
Palate
Machine learning
Intraoral scanner
Sex
Human identification
Online Access:https://doi.org/10.1186/s12903-024-05162-0
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