Your browser doesn't support javascript.
loading
Deep-Learning-Driven Quantification of Interstitial Fibrosis in Digitized Kidney Biopsies.
Zheng, Yi; Cassol, Clarissa A; Jung, Saemi; Veerapaneni, Divya; Chitalia, Vipul C; Ren, Kevin Y M; Bellur, Shubha S; Boor, Peter; Barisoni, Laura M; Waikar, Sushrut S; Betke, Margrit; Kolachalama, Vijaya B.
Afiliación
  • Zheng Y; Section of Computational Biomedicine, Department of Medicine, Boston University School of Medicine, Boston, Massachusetts; Department of Computer Science, College of Arts and Sciences, Boston University, Boston, Massachusetts.
  • Cassol CA; Arkana Laboratories, Little Rock, Arkansas; Department of Pathology, The Ohio State University, Columbus, Ohio.
  • Jung S; Section of Computational Biomedicine, Department of Medicine, Boston University School of Medicine, Boston, Massachusetts.
  • Veerapaneni D; Section of Computational Biomedicine, Department of Medicine, Boston University School of Medicine, Boston, Massachusetts.
  • Chitalia VC; Section of Nephrology, Boston University School of Medicine & Boston Medical Center, Boston, Massachusetts.
  • Ren KYM; Department of Pathology and Molecular Medicine, Queen's University, Kingston, Ontario, Canada.
  • Bellur SS; Department of Pathology and Molecular Medicine, Queen's University, Kingston, Ontario, Canada; Medical Renal and Genitourinary Pathology, William Osler Health System, Brampton, Ontario, Canada.
  • Boor P; Institute of Pathology & Department of Nephrology & Electron Microscopy Facility, RWTH Aachen University Hospital, Aachen, Germany.
  • Barisoni LM; Department of Pathology and Medicine, Duke University, Durham, North Carolina.
  • Waikar SS; Section of Nephrology, Boston University School of Medicine & Boston Medical Center, Boston, Massachusetts.
  • Betke M; Department of Computer Science, College of Arts and Sciences, Boston University, Boston, Massachusetts; Faculty of Computing and Data Sciences, Boston University, Boston, Massachusetts.
  • Kolachalama VB; Section of Computational Biomedicine, Department of Medicine, Boston University School of Medicine, Boston, Massachusetts; Department of Computer Science, College of Arts and Sciences, Boston University, Boston, Massachusetts; Faculty of Computing and Data Sciences, Boston University, Boston, Massac
Am J Pathol ; 191(8): 1442-1453, 2021 08.
Article en En | MEDLINE | ID: mdl-34033750
Asunto(s)
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Interpretación de Imagen Asistida por Computador / Aprendizaje Profundo / Enfermedades Renales Tipo de estudio: Guideline / Prognostic_studies Límite: Adolescent / Adult / Aged / Aged80 / Child / Child, preschool / Female / Humans / Infant / Male Idioma: En Año: 2021 Tipo del documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Interpretación de Imagen Asistida por Computador / Aprendizaje Profundo / Enfermedades Renales Tipo de estudio: Guideline / Prognostic_studies Límite: Adolescent / Adult / Aged / Aged80 / Child / Child, preschool / Female / Humans / Infant / Male Idioma: En Año: 2021 Tipo del documento: Article