Multi-parametric MRI zone-specific diagnostic model performance compared with experienced radiologists for detection of prostate cancer

類似資料

• Machine learning classifiers can predict Gleason pattern 4 prostate cancer with greater accuracy than experienced radiologists
  著者:: Antonelli, Michela, 等
  出版事項: (2019)
• Correction to: Machine learning classifiers can predict Gleason pattern 4 prostate cancer with greater accuracy than experienced radiologists
  著者:: Antonelli, Michela, 等
  出版事項: (2019)
• Characterizing indeterminate (Likert-score 3/5) peripheral zone prostate lesions with PSA density, PI-RADS scoring and qualitative descriptors on multiparametric MRI
  著者:: Brizmohun Appayya, Mrishta, 等
  出版事項: (2018)
• Logistic regression model for diagnosis of transition zone prostate cancer on multi-parametric MRI
  著者:: Dikaios, Nikolaos, 等
  出版事項: (2014)
• “Textural analysis of multiparametric MRI detects transition zone prostate cancer”
  著者:: Sidhu, Harbir S., 等
  出版事項: (2016)