Diagnostic performance of convolutional neural networks for dental sexual dimorphism

Diagnostic performance of convolutional neural networks for dental sexual dimorphism

Abstract Convolutional neural networks (CNN) led to important solutions in the field of Computer Vision. More recently, forensic sciences benefited from the resources of artificial intelligence, especially in procedures that normally require operator-dependent steps. Forensic tools for sexual dimorp...

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Bibliographic Details
Main Authors: Ademir Franco, Lucas Porto, Dennis Heng, Jared Murray, Anna Lygate, Raquel Franco, Juliano Bueno, Marilia Sobania, Márcio M. Costa, Luiz R. Paranhos, Scheila Manica, André Abade
Format: Article
Language:English
Published: Nature Portfolio 2022-10-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-022-21294-1

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https://doi.org/10.1038/s41598-022-21294-1

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