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Deep learning-based automatic facial symmetry scoring in peripheral facial palsy

Abstract Unilateral peripheral facial palsy (PFP) results in facial asymmetry and functional impairment, reducing quality of life. Accurate, objective assessment is vital for monitoring and rehabilitation. This study presents an automated method utilizes standardized 2D photographs to visualize faci...

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Principais autores: Andreas Heinrich, Gerd Fabian Volk, Christian Dobel, Orlando Guntinas-Lichius
Format: Artigo
Sprog:Inglês
Udgivet: Nature Portfolio 2025-08-01
Serier:Scientific Reports
Fag:
Automated symmetry score
Deep learning
Facial paralysis
Image processing
Computer-assisted
Online adgang:https://doi.org/10.1038/s41598-025-17172-1
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