Development and validation of an artificial intelligence system for grading colposcopic impressions and guiding biopsies

BACKGROUND: Colposcopy diagnosis and directed biopsy are the key components in cervical cancer screening programs. However, their performance is limited by the requirement for experienced colposcopists. This study aimed to develop and validate a Colposcopic Artificial Intelligence Auxiliary Diagnost...

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Detalles Bibliográficos
Autores principales: Xue, Peng, Tang, Chao, Li, Qing, Li, Yuexiang, Shen, Yu, Zhao, Yuqian, Chen, Jiawei, Wu, Jianrong, Li, Longyu, Wang, Wei, Li, Yucong, Cui, Xiaoli, Zhang, Shaokai, Zhang, Wenhua, Zhang, Xun, Ma, Kai, Zheng, Yefeng, Qian, Tianyi, Ng, Man Tat Alexander, Liu, Zhihua, Qiao, Youlin, Jiang, Yu, Zhao, Fanghui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7754595/
https://www.ncbi.nlm.nih.gov/pubmed/33349257
http://dx.doi.org/10.1186/s12916-020-01860-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7754595/
https://www.ncbi.nlm.nih.gov/pubmed/33349257
http://dx.doi.org/10.1186/s12916-020-01860-y

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