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A generative adversarial approach to facilitate archival-quality histopathologic diagnoses from frozen tissue sections.
Falahkheirkhah, Kianoush; Guo, Tao; Hwang, Michael; Tamboli, Pheroze; Wood, Christopher G; Karam, Jose A; Sircar, Kanishka; Bhargava, Rohit.
Afiliação
  • Falahkheirkhah K; Department of Chemical and Biomolecular Engineering, University of Illinois at Urbana-Champaign, Urbana, IL, 61801, USA.
  • Guo T; Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, IL, 61801, USA.
  • Hwang M; Department of Pathology, University of Texas MD Anderson Cancer Center, Houston, TX, USA.
  • Tamboli P; Department of Pathology and Laboratory Medicine, Indiana University School of Medicine, Indianapolis, IN, USA.
  • Wood CG; Department of Pathology, University of Texas MD Anderson Cancer Center, Houston, TX, USA.
  • Karam JA; Department of Urology, University of Texas MD Anderson Cancer Center, Houston, TX, USA.
  • Sircar K; Department of Urology, University of Texas MD Anderson Cancer Center, Houston, TX, USA.
  • Bhargava R; Department of Translational Molecular Pathology, University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Lab Invest ; 102(5): 554-559, 2022 05.
Article em En | MEDLINE | ID: mdl-34963688

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Perfilação da Expressão Gênica / Formaldeído Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Humans Idioma: En Revista: Lab Invest Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Perfilação da Expressão Gênica / Formaldeído Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Humans Idioma: En Revista: Lab Invest Ano de publicação: 2022 Tipo de documento: Article