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Development of an automated estimation of foot process width using deep learning in kidney biopsies from patients with Fabry, minimal change, and diabetic kidney diseases.
Smerkous, David; Mauer, Michael; Tøndel, Camilla; Svarstad, Einar; Gubler, Marie-Claire; Nelson, Robert G; Oliveira, João-Paulo; Sargolzaeiaval, Forough; Najafian, Behzad.
Afiliação
  • Smerkous D; Department of Laboratory Medicine and Pathology, University of Washington, Seattle, Washington, USA; Paul G. Allen School of Computer Science and Engineering, University of Washington, Seattle, Washington, USA.
  • Mauer M; Department of Pediatrics, University of Minnesota, Minneapolis, Minnesota, USA; Department of Medicine, University of Minnesota, Minneapolis, Minnesota, USA.
  • Tøndel C; Department of Pediatrics, Haukeland University Hospital, Bergen, Norway; Institute of Clinical Medicine, University of Bergen, Bergen, Norway.
  • Svarstad E; Department of Clinical Medicine, University of Bergen, Bergen, Norway.
  • Gubler MC; INSERM U1163, Imagine Institute, Necker-Enfants Malades Hospital, Paris, France.
  • Nelson RG; Chronic Kidney Disease Section, Phoenix Epidemiology and Clinical Research Branch, National Institute of Diabetes and Digestive and Kidney Diseases, Phoenix, Arizona, USA.
  • Oliveira JP; Service of Medical Genetics, São João University Hospital; Department of Medical Genetics, Faculty of Medicine and i3S-Institute for Research and Innovation in Health, University of Porto, Porto, Portugal.
  • Sargolzaeiaval F; Department of Laboratory Medicine and Pathology, University of Washington, Seattle, Washington, USA.
  • Najafian B; Department of Laboratory Medicine and Pathology, University of Washington, Seattle, Washington, USA. Electronic address: najafian@uw.edu.
Kidney Int ; 105(1): 165-176, 2024 Jan.
Article em En | MEDLINE | ID: mdl-37774924
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Diabetes Mellitus Tipo 2 / Nefropatias Diabéticas / Aprendizado Profundo Limite: Humans Idioma: En Ano de publicação: 2024 Tipo de documento: Article
Texto completo
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PubMed Links
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Diabetes Mellitus Tipo 2 / Nefropatias Diabéticas / Aprendizado Profundo Limite: Humans Idioma: En Ano de publicação: 2024 Tipo de documento: Article