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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| Hauptverfasser: | , , , |
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| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
MDPI AG
2026-05-01
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| Schriftenreihe: | Diagnostics |
| Schlagworte: | |
| Online-Zugang: | https://www.mdpi.com/2075-4418/16/10/1464 |
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