A Machine Learning-Based System for Real-Time Polyp Detection (DeFrame): A Retrospective Study

BACKGROUND AND AIMS: Recent studies have shown that artificial intelligence-based computer-aided detection systems possess great potential in reducing the heterogeneous performance of doctors during endoscopy. However, most existing studies are based on high-quality static images available in open-s...

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Detalles Bibliográficos
Autores principales: Chen, Shuijiao, Lu, Shuang, Tang, Yingxin, Wang, Dechun, Sun, Xinzi, Yi, Jun, Liu, Benyuan, Cao, Yu, Chen, Yongheng, Liu, Xiaowei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Medicine
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9194608/
https://www.ncbi.nlm.nih.gov/pubmed/35712105
http://dx.doi.org/10.3389/fmed.2022.852553

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9194608/
https://www.ncbi.nlm.nih.gov/pubmed/35712105
http://dx.doi.org/10.3389/fmed.2022.852553

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