Sex estimation from Thai hand radiographs using convolutional neural networks
Manual analysis of hand radiographs for sex estimation is prone to biases and errors. This study addresses the need for automated methods by exploring the potential of Convolutional Neural Networks (CNNs) to accurately identify individual sex from Thai hand radiographs, overcoming limitations in dat...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
Elsevier
2023-12-01
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Series: | Forensic Science International: Reports |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2665910723000270 |