Cargando…
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...
Formato: | Online Artículo Texto |
---|---|
Lenguaje: | English |
Publicado: |
IEEE
2023
|
Materias: | |
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 |
Ejemplares similares
-
Rethinking glottal midline detection
por: Kist, Andreas M., et al.
Publicado: (2020) -
Re-Training of Convolutional Neural Networks for Glottis Segmentation in Endoscopic High-Speed Videos
por: Döllinger, Michael, et al.
Publicado: (2022) -
Œdema of the Glottis
Publicado: (1905) -
Spasm of the Glottis
Publicado: (1909) -
Scald of Glottis
por: Cotterill, J. M.
Publicado: (1877)