Development and evaluation of a convolutional neural network model for sex prediction using cephalometric radiographs and cranial photographs
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DOI: 10.1186/s12880-025-01892-x
Abstract: Accurately determining sex using features like facial bone profiles and teeth is crucial for identifying unknown victims. Lateral cephalometric radiographs effectively depict the lateral cranial structure, aiding the development of computational identification models. This study… read more here.
Keywords: cranial photographs; cephalometric radiographs; performance; model ... See more keywords
Automated Landmark Detection and Lip Thickness Classification Using a Convolutional Neural Network in Lateral Cephalometric Radiographs
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DOI: 10.3390/diagnostics15121468
Abstract: Objective: The objective of this study is to develop a convolutional neural network (CNN) for the automatic detection of soft and hard tissue landmarks and the classification of lip thickness on lateral cephalometric radiographs. Methods:… read more here.
Keywords: detection; classification; lip; cephalometric radiographs ... See more keywords