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Predicting Lymph Node Metastasis From Primary Cervical Squamous Cell Carcinoma Based on Deep Learning in Histopathologic Images.
Guo, Qinhao; Qu, Linhao; Zhu, Jun; Li, Haiming; Wu, Yong; Wang, Simin; Yu, Min; Wu, Jiangchun; Wen, Hao; Ju, Xingzhu; Wang, Xin; Bi, Rui; Shi, Yonghong; Wu, Xiaohua.
Afiliação
  • Guo Q; Department of Gynecologic Oncology, Fudan University Shanghai Cancer Center, Fudan University, Shanghai, China; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China.
  • Qu L; Digital Medical Research Center, School of Basic Medical Sciences, Fudan University, Shanghai, China; Shanghai Key Laboratory of Medical Imaging Computing and Computer Assisted Intervention, Fudan University, Shanghai, China.
  • Zhu J; Department of Gynecologic Oncology, Fudan University Shanghai Cancer Center, Fudan University, Shanghai, China; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China.
  • Li H; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China; Department of Radiology, Fudan University Shanghai Cancer Center, Fudan University, Shanghai, China.
  • Wu Y; Department of Gynecologic Oncology, Fudan University Shanghai Cancer Center, Fudan University, Shanghai, China; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China.
  • Wang S; Department of Gynecologic Oncology, Fudan University Shanghai Cancer Center, Fudan University, Shanghai, China; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China.
  • Yu M; Department of Gynecologic Oncology, Fudan University Shanghai Cancer Center, Fudan University, Shanghai, China; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China.
  • Wu J; Department of Gynecologic Oncology, Fudan University Shanghai Cancer Center, Fudan University, Shanghai, China; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China.
  • Wen H; Department of Gynecologic Oncology, Fudan University Shanghai Cancer Center, Fudan University, Shanghai, China; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China.
  • Ju X; Department of Gynecologic Oncology, Fudan University Shanghai Cancer Center, Fudan University, Shanghai, China; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China.
  • Wang X; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China; Department of Pathology, Fudan University Shanghai Cancer Center, Fudan University, Shanghai, China.
  • Bi R; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China; Department of Pathology, Fudan University Shanghai Cancer Center, Fudan University, Shanghai, China. Electronic address: br_fdcc@163.com.
  • Shi Y; Digital Medical Research Center, School of Basic Medical Sciences, Fudan University, Shanghai, China; Shanghai Key Laboratory of Medical Imaging Computing and Computer Assisted Intervention, Fudan University, Shanghai, China. Electronic address: yonghong.shi@fudan.edu.cn.
  • Wu X; Department of Gynecologic Oncology, Fudan University Shanghai Cancer Center, Fudan University, Shanghai, China; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China. Electronic address: wu.xh@fudan.edu.cn.
Mod Pathol ; 36(12): 100316, 2023 Dec.
Article em En | MEDLINE | ID: mdl-37634868
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Carcinoma de Células Escamosas / Adenocarcinoma / Neoplasias do Colo do Útero / Aprendizado Profundo Tipo de estudo: Clinical_trials / Prognostic_studies / Risk_factors_studies Limite: Female / Humans País/Região como assunto: Asia Idioma: En Revista: Mod Pathol Assunto da revista: PATOLOGIA Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Carcinoma de Células Escamosas / Adenocarcinoma / Neoplasias do Colo do Útero / Aprendizado Profundo Tipo de estudo: Clinical_trials / Prognostic_studies / Risk_factors_studies Limite: Female / Humans País/Região como assunto: Asia Idioma: En Revista: Mod Pathol Assunto da revista: PATOLOGIA Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China