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Automatic Gleason grading of prostate cancer using quantitative phase imaging and machine learning.
Nguyen, Tan H; Sridharan, Shamira; Macias, Virgilia; Kajdacsy-Balla, Andre; Melamed, Jonathan; Do, Minh N; Popescu, Gabriel.
Afiliação
  • Nguyen TH; University of Illinois, Beckman Institute for Advanced Science and Technology, Department of Electrical and Computer Engineering, Quantitative Light Imaging Laboratory, Urbana-Champaign, Illinois, United States.
  • Sridharan S; University of Illinois, Beckman Institute for Advanced Science and Technology, Department of Electrical and Computer Engineering, Quantitative Light Imaging Laboratory, Urbana-Champaign, Illinois, United States.
  • Macias V; University of Illinois, Department of Pathology, Chicago, Illinois, United States.
  • Kajdacsy-Balla A; University of Illinois, Department of Pathology, Chicago, Illinois, United States.
  • Melamed J; New York University, School of Medicine, Department of Pathology, New York, New York, United States.
  • Do MN; University of Illinois, Department of Electrical and Computer Engineering, Computational Imaging Group, Coordinated Science Laboratory, Urbana-Champaign, Illinois, United States.
  • Popescu G; University of Illinois, Beckman Institute for Advanced Science and Technology, Department of Electrical and Computer Engineering, Quantitative Light Imaging Laboratory, Urbana-Champaign, Illinois, United States.
J Biomed Opt ; 22(3): 36015, 2017 03 01.
Article em En | MEDLINE | ID: mdl-28358941
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Limite: Humans / Male Idioma: En Ano de publicação: 2017 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Limite: Humans / Male Idioma: En Ano de publicação: 2017 Tipo de documento: Article