Establishment and validation of a computer-assisted colonic polyp localization system based on deep learning

BACKGROUND: Artificial intelligence in colonoscopy is an emerging field, and its application may help colonoscopists improve inspection quality and reduce the rate of missed polyps and adenomas. Several deep learning-based computer-assisted detection (CADe) techniques were established from small sin...

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Detalles Bibliográficos
Autores principales: Zhao, Sheng-Bing, Yang, Wei, Wang, Shu-Ling, Pan, Peng, Wang, Run-Dong, Chang, Xin, Sun, Zhong-Qian, Fu, Xing-Hui, Shang, Hong, Wu, Jian-Rong, Chen, Li-Zhu, Chang, Jia, Song, Pu, Miao, Ying-Lei, He, Shui-Xiang, Miao, Lin, Jiang, Hui-Qing, Wang, Wen, Yang, Xia, Dong, Yuan-Hang, Lin, Han, Chen, Yan, Gao, Jie, Meng, Qian-Qian, Jin, Zhen-Dong, Li, Zhao-Shen, Bai, Yu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Baishideng Publishing Group Inc 2021
Materias:
Clinical and Translational Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8384745/
https://www.ncbi.nlm.nih.gov/pubmed/34497447
http://dx.doi.org/10.3748/wjg.v27.i31.5232

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8384745/
https://www.ncbi.nlm.nih.gov/pubmed/34497447
http://dx.doi.org/10.3748/wjg.v27.i31.5232

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