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[The value of machine learning models based on biparametric MRI for diagnosis of prostate cancer and clinically significant prostate cancer].
Qiao, X M; Hu, C H; Hu, S; Hu, C H; Wang, X M; Shen, J K; Ji, L B; Song, Y; Bao, J.
Affiliation
  • Qiao XM; Department of Radiology, First Affiliated Hospital of Soochow University, Suzhou 215006, China.
  • Hu CH; Department of Radiology, First Affiliated Hospital of Soochow University, Suzhou 215006, China.
  • Hu S; Department of Radiology, First Affiliated Hospital of Soochow University, Suzhou 215006, China.
  • Hu CH; Department of Radiology, First Affiliated Hospital of Soochow University, Suzhou 215006, China.
  • Wang XM; Department of Radiology, First Affiliated Hospital of Soochow University, Suzhou 215006, China.
  • Shen JK; Department of Radiology, Second Affiliated Hospital of Soochow University, Suzhou 215004, China.
  • Ji LB; Department of Radiology, Changshu NO.1 People's Hospital, Changshu 215501, China.
  • Song Y; Scientific Marketing, Siemens Healthineers, Shanghai 201318, China.
  • Bao J; Department of Radiology, First Affiliated Hospital of Soochow University, Suzhou 215006, China.
Zhonghua Yi Xue Za Zhi ; 103(19): 1446-1454, 2023 May 23.
Article in Zh | MEDLINE | ID: mdl-37198106
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Full text: 1 Database: MEDLINE Main subject: Prostatic Neoplasms / Magnetic Resonance Imaging Type of study: Diagnostic_studies / Observational_studies / Prognostic_studies Limits: Humans / Male Language: Zh Year: 2023 Type: Article
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Full text: 1 Database: MEDLINE Main subject: Prostatic Neoplasms / Magnetic Resonance Imaging Type of study: Diagnostic_studies / Observational_studies / Prognostic_studies Limits: Humans / Male Language: Zh Year: 2023 Type: Article