Automated detection of cecal intubation with variable bowel preparation using a deep convolutional neural network

Background and study aims  Colonoscopy completion reduces post-colonoscopy colorectal cancer. As a result, there have been attempts at implementing artificial intelligence to automate the detection of the appendiceal orifice (AO) for quality assurance. However, the utilization of these algorithms ha...

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Detalles Bibliográficos
Autores principales: Low, Daniel J., Hong, Zhuoqiao, Khan, Rishad, Bansal, Rishi, Gimpaya, Nikko, Grover, Samir C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Georg Thieme Verlag KG 2021
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8589561/
https://www.ncbi.nlm.nih.gov/pubmed/34790545
http://dx.doi.org/10.1055/a-1546-8266

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8589561/
https://www.ncbi.nlm.nih.gov/pubmed/34790545
http://dx.doi.org/10.1055/a-1546-8266

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