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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...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Georg Thieme Verlag KG
2021
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| 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 |