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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...
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 |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2020
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Materias: | |
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 |
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