A General Deep Learning Framework for Automatic Multi-View Facial and Nasal Landmark Detection in Clinical Photographs
Facial and nasal anatomical landmarks are essential for quan- titative analysis and planning in aesthetic rhinoplasty, yet manual annotation of multi-view clinical photographs is time- consuming and subject to inter-observer variability. We present a unified deep learning framework for automatic la...
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| Hoofdauteurs: | , , , |
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| Formaat: | Artigo |
| Taal: | Inglês |
| Gepubliceerd in: |
LibraryPress@UF
2026-05-01
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| Reeks: | Proceedings of the International Florida Artificial Intelligence Research Society Conference |
| Onderwerpen: | |
| Online toegang: | https://journals.flvc.org/FLAIRS/article/view/141535 |
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