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Augmented Bladder Tumor Detection Using Deep Learning.
Shkolyar, Eugene; Jia, Xiao; Chang, Timothy C; Trivedi, Dharati; Mach, Kathleen E; Meng, Max Q-H; Xing, Lei; Liao, Joseph C.
Afiliação
  • Shkolyar E; Department of Urology, Stanford University School of Medicine, Stanford, CA, USA; Veterans Affairs Palo Alto Health Care System, Palo Alto, CA, USA.
  • Jia X; Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA, USA; Department of Electronic Engineering, The Chinese University of Hong Kong, Hong Kong.
  • Chang TC; Department of Urology, Stanford University School of Medicine, Stanford, CA, USA; Veterans Affairs Palo Alto Health Care System, Palo Alto, CA, USA.
  • Trivedi D; Department of Urology, Stanford University School of Medicine, Stanford, CA, USA; Veterans Affairs Palo Alto Health Care System, Palo Alto, CA, USA.
  • Mach KE; Department of Urology, Stanford University School of Medicine, Stanford, CA, USA; Veterans Affairs Palo Alto Health Care System, Palo Alto, CA, USA.
  • Meng MQ; Department of Electronic Engineering, The Chinese University of Hong Kong, Hong Kong.
  • Xing L; Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA, USA. Electronic address: lei@stanford.edu.
  • Liao JC; Department of Urology, Stanford University School of Medicine, Stanford, CA, USA; Veterans Affairs Palo Alto Health Care System, Palo Alto, CA, USA. Electronic address: jliao@stanford.edu.
Eur Urol ; 76(6): 714-718, 2019 12.
Article em En | MEDLINE | ID: mdl-31537407
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias da Bexiga Urinária / Carcinoma de Células de Transição / Cistoscopia / Aprendizado Profundo Tipo de estudo: Diagnostic_studies Limite: Humans Idioma: En Ano de publicação: 2019 Tipo de documento: Article
Texto completo
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias da Bexiga Urinária / Carcinoma de Células de Transição / Cistoscopia / Aprendizado Profundo Tipo de estudo: Diagnostic_studies Limite: Humans Idioma: En Ano de publicação: 2019 Tipo de documento: Article