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Development of a deep learning-based nomogram for predicting lymph node metastasis in cervical cancer: A multicenter study.
Liu, Yujia; Duan, Hui; Dong, Di; Chen, Jiaming; Zhong, Lianzhen; Zhang, Liwen; Cao, Runnan; Fan, Huijian; Cui, Zhumei; Liu, Ping; Kang, Shan; Zhan, Xuemei; Wang, Shaoguang; Zhao, Xun; Chen, Chunlin; Tian, Jie.
Afiliação
  • Liu Y; School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China.
  • Duan H; CAS Key Laboratory of Molecular Imaging, the State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China.
  • Dong D; Department of Obstetrics and Gynecology, Nanfang Hospital, Southern Medical University, Guangzhou, China.
  • Chen J; School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China.
  • Zhong L; CAS Key Laboratory of Molecular Imaging, the State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China.
  • Zhang L; Beijing Key Laboratory of Molecular Imaging, Beijing, China.
  • Cao R; Department of Obstetrics and Gynecology, Nanfang Hospital, Southern Medical University, Guangzhou, China.
  • Fan H; Huizhou Municipal central Hospital, Huizhou, China.
  • Cui Z; School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China.
  • Liu P; CAS Key Laboratory of Molecular Imaging, the State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China.
  • Kang S; School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China.
  • Zhan X; CAS Key Laboratory of Molecular Imaging, the State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China.
  • Wang S; School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China.
  • Zhao X; CAS Key Laboratory of Molecular Imaging, the State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China.
  • Chen C; Department of Obstetrics and Gynecology, Nanfang Hospital, Southern Medical University, Guangzhou, China.
  • Tian J; The affiliated hospital of Qingdao University, Qingdao, China.
Clin Transl Med ; 12(7): e938, 2022 07.
Article em En | MEDLINE | ID: mdl-35839331
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias do Colo do Útero / Aprendizado Profundo Tipo de estudo: Clinical_trials / Diagnostic_studies / Prognostic_studies / Risk_factors_studies Limite: Female / Humans Idioma: En Revista: Clin Transl Med Ano de publicação: 2022 Tipo de documento: Article País de afiliação: China
Texto completo
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XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias do Colo do Útero / Aprendizado Profundo Tipo de estudo: Clinical_trials / Diagnostic_studies / Prognostic_studies / Risk_factors_studies Limite: Female / Humans Idioma: En Revista: Clin Transl Med Ano de publicação: 2022 Tipo de documento: Article País de afiliação: China