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Deep learning techniques for imaging diagnosis of renal cell carcinoma: current and emerging trends.
Wang, Zijie; Zhang, Xiaofei; Wang, Xinning; Li, Jianfei; Zhang, Yuhao; Zhang, Tianwei; Xu, Shang; Jiao, Wei; Niu, Haitao.
Afiliación
  • Wang Z; Department of Vascular Intervention, ShengLi Oilfield Center Hospital, Dongying, China.
  • Zhang X; Department of Education and Training, The Affiliated Hospital of Qingdao University, Qingdao, China.
  • Wang X; Department of Urology, Affiliated Hospital of Qingdao University, Qingdao, China.
  • Li J; Extenics Specialized Committee, Chinese Association of Artificial Intelligence (ESCCAAI), Beijing, China.
  • Zhang Y; Department of Urology, Affiliated Hospital of Qingdao University, Qingdao, China.
  • Zhang T; Department of Urology, Affiliated Hospital of Qingdao University, Qingdao, China.
  • Xu S; Department of Urology, Affiliated Hospital of Qingdao University, Qingdao, China.
  • Jiao W; Department of Urology, Affiliated Hospital of Qingdao University, Qingdao, China.
  • Niu H; Department of Urology, Affiliated Hospital of Qingdao University, Qingdao, China.
Front Oncol ; 13: 1152622, 2023.
Article en En | MEDLINE | ID: mdl-37727213
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Texto completo: 1 Base de datos: MEDLINE Tipo de estudio: Diagnostic_studies / Prognostic_studies / Screening_studies Idioma: En Revista: Front Oncol Año: 2023 Tipo del documento: Article País de afiliación: China
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Base de datos: MEDLINE Tipo de estudio: Diagnostic_studies / Prognostic_studies / Screening_studies Idioma: En Revista: Front Oncol Año: 2023 Tipo del documento: Article País de afiliación: China