Your browser doesn't support javascript.
loading
Fully Automated Longitudinal Assessment of Renal Stone Burden on Serial CT Imaging Using Deep Learning.
Mukherjee, Pritam; Lee, Sungwon; Elton, Daniel C; Nakada, Stephen Y; Pickhardt, Perry J; Summers, Ronald M.
Afiliação
  • Mukherjee P; Imaging Biomarkers and Computer-Aided Diagnosis Laboratory, Department of Radiology and Imaging Sciences, National Institutes of Health Clinical Center, Bethesda, Maryland, USA.
  • Lee S; Imaging Biomarkers and Computer-Aided Diagnosis Laboratory, Department of Radiology and Imaging Sciences, National Institutes of Health Clinical Center, Bethesda, Maryland, USA.
  • Elton DC; Imaging Biomarkers and Computer-Aided Diagnosis Laboratory, Department of Radiology and Imaging Sciences, National Institutes of Health Clinical Center, Bethesda, Maryland, USA.
  • Nakada SY; Department of Radiology, The University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin, USA.
  • Pickhardt PJ; Department of Radiology, The University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin, USA.
  • Summers RM; Imaging Biomarkers and Computer-Aided Diagnosis Laboratory, Department of Radiology and Imaging Sciences, National Institutes of Health Clinical Center, Bethesda, Maryland, USA.
J Endourol ; 37(8): 948-955, 2023 08.
Article em En | MEDLINE | ID: mdl-37310890
Assuntos
Palavras-chave
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Cálculos Renais / Urolitíase / Aprendizado Profundo Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: J Endourol Ano de publicação: 2023 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Cálculos Renais / Urolitíase / Aprendizado Profundo Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: J Endourol Ano de publicação: 2023 Tipo de documento: Article