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DeepLiverNet: a deep transfer learning model for classifying liver stiffness using clinical and T2-weighted magnetic resonance imaging data in children and young adults.
Li, Hailong; He, Lili; Dudley, Jonathan A; Maloney, Thomas C; Somasundaram, Elanchezhian; Brady, Samuel L; Parikh, Nehal A; Dillman, Jonathan R.
Afiliación
  • Li H; The Perinatal Institute and Section of Neonatology, Perinatal and Pulmonary Biology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA.
  • He L; Imaging Research Center, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA.
  • Dudley JA; The Perinatal Institute and Section of Neonatology, Perinatal and Pulmonary Biology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA.
  • Maloney TC; Imaging Research Center, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA.
  • Somasundaram E; Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH, USA.
  • Brady SL; Imaging Research Center, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA.
  • Parikh NA; Department of Radiology, Cincinnati Children's Hospital Medical Center, 3333 Burnet Ave., MLC 5031, Cincinnati, OH, 45229, USA.
  • Dillman JR; Imaging Research Center, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA.
Pediatr Radiol ; 51(3): 392-402, 2021 03.
Article en En | MEDLINE | ID: mdl-33048183
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Diagnóstico por Imagen de Elasticidad / Hepatopatías Tipo de estudio: Diagnostic_studies / Prognostic_studies Límite: Adult / Child / Humans Idioma: En Revista: Pediatr Radiol Año: 2021 Tipo del documento: Article País de afiliación: Estados Unidos
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Diagnóstico por Imagen de Elasticidad / Hepatopatías Tipo de estudio: Diagnostic_studies / Prognostic_studies Límite: Adult / Child / Humans Idioma: En Revista: Pediatr Radiol Año: 2021 Tipo del documento: Article País de afiliación: Estados Unidos