Diagnosis of unilateral vocal fold paralysis using auto-diagnostic deep learning model

Abstract Unilateral vocal fold paralysis (UVFP) is a condition characterized by impaired vocal fold mobility, typically diagnosed using laryngeal videoendoscopy. While deep learning (DL) models using static images have been explored for UVFP detection, they often lack the ability to assess vocal fol...

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Hlavní autoři:	Kyoung Ok Yang, So Young Kim, Chang Won Kang, Jeong Seon Choi, Yong Bae Ji, Kyung Tae, Jun Won Choi, Chang Myeon Song
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	Nature Portfolio 2025-07-01
Edice:	Scientific Reports
Témata:	Vocal fold paralysis Deep learning model Auto-diagnosis Laryngeal videoendoscopy Multi-task learning Vocal fold movement
On-line přístup:	https://doi.org/10.1038/s41598-025-09797-z
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