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A machine learning model based on MRI for the preoperative prediction of bladder cancer invasion depth.
Chen, Guihua; Fan, Xuhui; Wang, Tao; Zhang, Encheng; Shao, Jialiang; Chen, Siteng; Zhang, Dongliang; Zhang, Jian; Guo, Tuanjie; Yuan, Zhihao; Tang, Heting; Yu, Yaoyu; Chen, Jinyuan; Wang, Xiang.
Afiliação
  • Chen G; Department of Urology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200080, China.
  • Fan X; Department of Radiology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
  • Wang T; Department of Urology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200080, China.
  • Zhang E; Department of Urology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200080, China.
  • Shao J; Department of Urology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200080, China.
  • Chen S; Department of Urology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200135, China.
  • Zhang D; Department of Urology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200080, China.
  • Zhang J; Department of Urology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200080, China.
  • Guo T; Department of Urology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200080, China.
  • Yuan Z; Department of Urology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200080, China.
  • Tang H; Department of Urology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200080, China.
  • Yu Y; Department of Urology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200080, China.
  • Chen J; Department of Urology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200080, China.
  • Wang X; Department of Urology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200080, China. xiang.wang1@shgh.cn.
Eur Radiol ; 33(12): 8821-8832, 2023 Dec.
Article em En | MEDLINE | ID: mdl-37470826
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias da Bexiga Urinária / Imageamento por Ressonância Magnética Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article
Texto completo
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias da Bexiga Urinária / Imageamento por Ressonância Magnética Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article