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Clinical Equivalence of a CNN-Based Automated Soft Tissue Landmark Detection System on 2D Facial Images

<b>Background/Objectives:</b> The aim of this study was to evaluate and compare the accuracy, reliability, and time efficiency of a convolutional neural network (CNN)-based deep learning model with manual annotation in the identification of soft tissue landmarks on two-dimensional (2D) facial images...

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Main Authors: Argun Ege Türkün, Müslim Ege Kalender, Murat Kurt, Servet Doğan
Format: Artigo
Language:Inglês
Published: MDPI AG 2026-05-01
Series:Diagnostics
Subjects:
orthodontics
facial soft tissue landmark
deep learning
convolutional neural network
2D facial imaging
automated landmark detection
Online Access:https://www.mdpi.com/2075-4418/16/10/1464
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