A pilot trial of Convolution Neural Network for automatic retention-monitoring of capsule endoscopes in the stomach and duodenal bulb

The retention of a capsule endoscope (CE) in the stomach and the duodenal bulb during the examination is a troublesome problem, which can make the medical staff spend several hours observing whether the CE enters the descending segment of the duodenum (DSD). This paper investigated and evaluated the...

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Detalles Bibliográficos
Autores principales: Gan, Tao, Liu, Shuaicheng, Yang, Jinlin, Zeng, Bing, Yang, Li
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7057987/
https://www.ncbi.nlm.nih.gov/pubmed/32139758
http://dx.doi.org/10.1038/s41598-020-60969-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7057987/
https://www.ncbi.nlm.nih.gov/pubmed/32139758
http://dx.doi.org/10.1038/s41598-020-60969-5

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