Your browser doesn't support javascript.
loading
Improving the Accuracy and Efficiency of Abnormal Cervical Squamous Cell Detection With Cytologist-in-the-Loop Artificial Intelligence.
Xue, Peng; Xu, Hai-Miao; Tang, Hong-Ping; Weng, Hai-Yan; Wei, Hai-Ming; Wang, Zhe; Zhang, Hai-Yan; Weng, Yang; Xu, Lian; Li, Hong-Xia; Seery, Samuel; Han, Xiao; Ye, Hu; Qiao, You-Lin; Jiang, Yu.
Afiliação
  • Xue P; School of Population Medicine and Public Health, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China; Department of Cancer Epidemiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Pekin
  • Xu HM; Department of Pathology, Zhejiang Cancer Hospital, Hangzhou, Zhejiang, China.
  • Tang HP; Department of Pathology, Affiliated Shenzhen Maternity and Child Healthcare Hospital, Southern Medical University, Shenzhen, China.
  • Weng HY; Department of Pathology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, China.
  • Wei HM; Department of Pathology, Guangxi Zhuang Autonomous Region People's Hospital, Nanning, Guangxi, China.
  • Wang Z; State Key Laboratory of Cancer Biology, Department of Pathology, Xijing Hospital and School of Basic Medicine, Air Force Medical University, Xian, China.
  • Zhang HY; Department of Pathology, Northwest Women's and Children's Hospital, Xian, China.
  • Weng Y; Department of Pathology, The First Affiliated Hospital of Hainan Medical University, Haikou, China.
  • Xu L; Department of Pathology, Key Laboratory of Birth Defects and Related Diseases of Women and Children of Ministry of Education, West China Second University Hospital, Sichuan University, Chengdu, China.
  • Li HX; Department of Pathology, The 7th Medical Center, General Hospital of PLA, Beijing, China.
  • Seery S; Faculty of Health and Medicine, Division of Health Research, Lancaster University, Lancaster, United Kingdom.
  • Han X; AI Lab, Tencent, Shenzhen, China.
  • Ye H; AI Lab, Tencent, Shenzhen, China.
  • Qiao YL; School of Population Medicine and Public Health, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China; Department of Cancer Epidemiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Pekin
  • Jiang Y; School of Population Medicine and Public Health, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China. Electronic address: jiangyu@pumc.edu.cn.
Mod Pathol ; 36(8): 100186, 2023 08.
Article em En | MEDLINE | ID: mdl-37059230

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias do Colo do Útero Tipo de estudo: Clinical_trials / Diagnostic_studies / Screening_studies Limite: Female / Humans Idioma: En Revista: Mod Pathol Assunto da revista: PATOLOGIA Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias do Colo do Útero Tipo de estudo: Clinical_trials / Diagnostic_studies / Screening_studies Limite: Female / Humans Idioma: En Revista: Mod Pathol Assunto da revista: PATOLOGIA Ano de publicação: 2023 Tipo de documento: Article