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MRI Radiomics-Based Machine Learning Models for Ki67 Expression and Gleason Grade Group Prediction in Prostate Cancer.
Qiao, Xiaofeng; Gu, Xiling; Liu, Yunfan; Shu, Xin; Ai, Guangyong; Qian, Shuang; Liu, Li; He, Xiaojing; Zhang, Jingjing.
Afiliación
  • Qiao X; Department of Radiology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing 400010, China.
  • Gu X; Department of Radiology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing 400010, China.
  • Liu Y; Department of Radiology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing 400010, China.
  • Shu X; Department of Radiology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing 400010, China.
  • Ai G; Department of Radiology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing 400010, China.
  • Qian S; Big Data and Software Engineering College, Chongqing University, Chongqing 400000, China.
  • Liu L; Big Data and Software Engineering College, Chongqing University, Chongqing 400000, China.
  • He X; Department of Radiology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing 400010, China.
  • Zhang J; Departments of Diagnostic Radiology, National University of Singapore, Singapore 119074, Singapore.
Cancers (Basel) ; 15(18)2023 Sep 13.
Article en En | MEDLINE | ID: mdl-37760505
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Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Año: 2023 Tipo del documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Año: 2023 Tipo del documento: Article