GlottisNetV2: Temporal Glottal Midline Detection Using Deep Convolutional Neural Networks

High-speed videoendoscopy is a major tool for quantitative laryngology. Glottis segmentation and glottal midline detection are crucial for computing vocal fold-specific, quantitative parameters. However, fully automated solutions show limited clinical applicability. Especially unbiased glottal midli...

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Detalles Bibliográficos
Formato: Online Artículo Texto
Lenguaje:English
Publicado: IEEE 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9933989/
https://www.ncbi.nlm.nih.gov/pubmed/36816097
http://dx.doi.org/10.1109/JTEHM.2023.3237859

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9933989/
https://www.ncbi.nlm.nih.gov/pubmed/36816097
http://dx.doi.org/10.1109/JTEHM.2023.3237859

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