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Computed Tomography Radiomics for Predicting Pathological Grade of Renal Cell Carcinoma.
Yi, Xiaoping; Xiao, Qiao; Zeng, Feiyue; Yin, Hongling; Li, Zan; Qian, Cheng; Wang, Cikui; Lei, Guangwu; Xu, Qingsong; Li, Chuanquan; Li, Minghao; Gong, Guanghui; Zee, Chishing; Guan, Xiao; Liu, Longfei; Chen, Bihong T.
Afiliación
  • Yi X; Department of Radiology, Xiangya Hospital, Central South University, Changsha, China.
  • Xiao Q; Department of Urology, Xiangya Hospital, Central South University, Changsha, China.
  • Zeng F; Department of Radiology, Xiangya Hospital, Central South University, Changsha, China.
  • Yin H; Department of Pathology, Xiangya Hospital, Central South University, Changsha, China.
  • Li Z; Xiangya School of Medicine, Central-South University, Changsha, China.
  • Qian C; Xiangya School of Medicine, Central-South University, Changsha, China.
  • Wang C; Department of Urology, Xiangya Hospital, Central South University, Changsha, China.
  • Lei G; Department of Radiology, Xiangya Hospital, Central South University, Changsha, China.
  • Xu Q; School of Mathematics and Statistics, Central South University, Changsha, China.
  • Li C; School of Mathematics and Statistics, Central South University, Changsha, China.
  • Li M; Department of Urology, Xiangya Hospital, Central South University, Changsha, China.
  • Gong G; Department of Pathology, Xiangya Hospital, Central South University, Changsha, China.
  • Zee C; Department of Radiology, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States.
  • Guan X; Department of Urology, Xiangya Hospital, Central South University, Changsha, China.
  • Liu L; Department of Urology, Xiangya Hospital, Central South University, Changsha, China.
  • Chen BT; Department of Diagnostic Radiology, City of Hope National Medical Center, Duarte, CA, United States.
Front Oncol ; 10: 570396, 2020.
Article en En | MEDLINE | ID: mdl-33585193
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Front Oncol Año: 2020 Tipo del documento: Article País de afiliación: China Pais de publicación: Suiza
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Front Oncol Año: 2020 Tipo del documento: Article País de afiliación: China Pais de publicación: Suiza