Sex determination from lateral cephalometric radiographs using an automated deep learning convolutional neural network

PurposeDespite the proliferation of numerous morphometric and anthropometric methods for sex identification based on linear, angular, and regional measurements of various parts of the body, these methods are subject to error due to the observer's knowledge and expertise. This study aimed to exp...

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Veröffentlicht in:	Imaging science in dentistry 2022-09, Vol.52 (3), p.239-244
Hauptverfasser:	Khazaei, Maryam, Mollabashi, Vahid, Khotanlou, Hassan, Farhadian, Maryam
Format:	Artikel
Sprache:	eng
Schlagworte:	Original
Online-Zugang:	Volltext
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