A single latent channel is sufficient for biomedical glottis segmentation

Glottis segmentation is a crucial step to quantify endoscopic footage in laryngeal high-speed videoendoscopy. Recent advances in deep neural networks for glottis segmentation allow for a fully automatic workflow. However, exact knowledge of integral parts of these deep segmentation networks remains...

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Detalles Bibliográficos
Autores principales: Kist, Andreas M., Breininger, Katharina, Dörrich, Marion, Dürr, Stephan, Schützenberger, Anne, Semmler, Marion
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9395348/
https://www.ncbi.nlm.nih.gov/pubmed/35995933
http://dx.doi.org/10.1038/s41598-022-17764-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9395348/
https://www.ncbi.nlm.nih.gov/pubmed/35995933
http://dx.doi.org/10.1038/s41598-022-17764-1

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