Artificial Intelligence-Assisted Colonoscopy for Detection of Colon Polyps: a Prospective, Randomized Cohort Study

BACKGROUND AND AIMS: Improving the rate of polyp detection is an important measure to prevent colorectal cancer (CRC). Real-time automatic polyp detection systems, through deep learning methods, can learn and perform specific endoscopic tasks previously performed by endoscopists. The purpose of this...

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Detalles Bibliográficos
Autores principales: Luo, Yuchen, Zhang, Yi, Liu, Ming, Lai, Yihong, Liu, Panpan, Wang, Zhen, Xing, Tongyin, Huang, Ying, Li, Yue, Li, Aiming, Wang, Yadong, Luo, Xiaobei, Liu, Side, Han, Zelong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2020
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8321985/
https://www.ncbi.nlm.nih.gov/pubmed/32968933
http://dx.doi.org/10.1007/s11605-020-04802-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8321985/
https://www.ncbi.nlm.nih.gov/pubmed/32968933
http://dx.doi.org/10.1007/s11605-020-04802-4

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