Your browser doesn't support javascript.
loading
A review of artificial intelligence in prostate cancer detection on imaging.
Bhattacharya, Indrani; Khandwala, Yash S; Vesal, Sulaiman; Shao, Wei; Yang, Qianye; Soerensen, Simon J C; Fan, Richard E; Ghanouni, Pejman; Kunder, Christian A; Brooks, James D; Hu, Yipeng; Rusu, Mirabela; Sonn, Geoffrey A.
Afiliação
  • Bhattacharya I; Department of Radiology, Stanford University School of Medicine, 1201 Welch Road, Stanford, CA 94305, USA.
  • Khandwala YS; Department of Urology, Stanford University School of Medicine, Stanford, CA, USA.
  • Vesal S; Department of Urology, Stanford University School of Medicine, Stanford, CA, USA.
  • Shao W; Department of Urology, Stanford University School of Medicine, Stanford, CA, USA.
  • Yang Q; Department of Radiology, Stanford University School of Medicine, Stanford, CA, USA.
  • Soerensen SJC; Centre for Medical Image Computing, University College London, London, UK.
  • Fan RE; Wellcome / EPSRC Centre for Interventional and Surgical Sciences, University College London, London, UK.
  • Ghanouni P; Department of Urology, Stanford University School of Medicine, Stanford, CA, USA.
  • Kunder CA; Department of Epidemiology & Population Health, Stanford University School of Medicine, Stanford, CA, USA.
  • Brooks JD; Department of Urology, Stanford University School of Medicine, Stanford, CA, USA.
  • Hu Y; Department of Radiology, Stanford University School of Medicine, Stanford, CA, USA.
  • Rusu M; Department of Urology, Stanford University School of Medicine, Stanford, CA, USA.
  • Sonn GA; Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA.
Ther Adv Urol ; 14: 17562872221128791, 2022.
Article em En | MEDLINE | ID: mdl-36249889
Palavras-chave
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Prognostic_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Prognostic_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article