Your browser doesn't support javascript.
loading
Combination of deep learning and ensemble machine learning using intraoperative video images strongly predicts recovery of urinary continence after robot-assisted radical prostatectomy.
Nakamura, Wataru; Sumitomo, Makoto; Zennami, Kenji; Takenaka, Masashi; Ichino, Manabu; Takahara, Kiyoshi; Teramoto, Atsushi; Shiroki, Ryoichi.
Afiliação
  • Nakamura W; Department of Urology, School of Medicine, Fujita Health University, Toyoake, Japan.
  • Sumitomo M; Department of Urology, School of Medicine, Fujita Health University, Toyoake, Japan.
  • Zennami K; Fujita Cancer Center, Fujita Health University, Toyoake, Japan.
  • Takenaka M; Department of Urology, School of Medicine, Fujita Health University, Toyoake, Japan.
  • Ichino M; Department of Urology, School of Medicine, Fujita Health University, Toyoake, Japan.
  • Takahara K; Department of Urology, School of Medicine, Fujita Health University, Toyoake, Japan.
  • Teramoto A; Department of Urology, School of Medicine, Fujita Health University, Toyoake, Japan.
  • Shiroki R; Faculty of Radiological Technology, School of Medical Sciences, Fujita Health University, Toyoake, Japan.
Cancer Rep (Hoboken) ; 6(9): e1861, 2023 09.
Article em En | MEDLINE | ID: mdl-37449339

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Incontinência Urinária / Robótica / Aprendizado Profundo Tipo de estudo: Etiology_studies / Prognostic_studies / Risk_factors_studies Limite: Humans / Male Idioma: En Revista: Cancer Rep (Hoboken) Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Incontinência Urinária / Robótica / Aprendizado Profundo Tipo de estudo: Etiology_studies / Prognostic_studies / Risk_factors_studies Limite: Humans / Male Idioma: En Revista: Cancer Rep (Hoboken) Ano de publicação: 2023 Tipo de documento: Article