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

Xue, P; Tang, C; Li, Q; Li, YX; Shen, Y; Zhao, YQ; Chen, JW; Wu, JR; Li, LY; Wang, W; Li, YC; Cui, XL; Zhang, SK; Zhang, WH; Zhang, X; Ma, K; Zheng, YF; Qian, TY; Ng, MTA; Liu, ZH; Qiao, YL; Jiang, Y; Zhao, FH

Jiang, Y (corresponding author), Chinese Acad Med Sci & Peking Union Med Coll, Sch Populat Med & Publ Hlth, Dept Epidemiol & Biostat, Beijing 100730, Peoples R China.; Zhao, FH (corresponding author), Chinese Acad Med Sci & Peking Union Med Coll, Canc Hosp, Natl Clin Res Ctr Canc, Dept Canc Epidemiol,Natl Canc Ctr, Beijing 100021, Peoples R China.

BMC MEDICINE, 2020; 18 (1):

Abstract

Background Colposcopy diagnosis and directed biopsy are the key components in cervical cancer screening programs. However, their performance is limite......

Full Text Link


Links

期刊讨论 | 中国SCI论文 | 期刊主页 | 投稿经验 | 杂志官网 | 投稿链接 | 作者需知 | PMC链接 | Pubmed全文检索