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A digital pathology tool for quantification of color features in histologic specimens.
Reschke, Melanie; DiRito, Jenna R; Stern, David; Day, Wesley; Plebanek, Natalie; Harris, Matthew; Hosgood, Sarah A; Nicholson, Michael L; Haakinson, Danielle J; Zhang, Xuchen; Mehal, Wajahat Z; Ouyang, Xinshou; Pober, Jordan S; Saltzman, W Mark; Tietjen, Gregory T.
Afiliação
  • Reschke M; Department of Molecular Biophysics & Biochemistry Yale University New Haven Connecticut USA.
  • DiRito JR; Department of Surgery Yale School of Medicine New Haven Connecticut USA.
  • Stern D; Department of Surgery Yale School of Medicine New Haven Connecticut USA.
  • Day W; Department of Biomedical Engineering Yale University New Haven Connecticut USA.
  • Plebanek N; Department of Biomedical Engineering Yale University New Haven Connecticut USA.
  • Harris M; Department of Surgery Yale School of Medicine New Haven Connecticut USA.
  • Hosgood SA; Department of Surgery University of Cambridge Cambridge UK.
  • Nicholson ML; Department of Surgery University of Cambridge Cambridge UK.
  • Haakinson DJ; Department of Surgery Yale School of Medicine New Haven Connecticut USA.
  • Zhang X; Department of Pathology Yale School of Medicine New Haven Connecticut USA.
  • Mehal WZ; Section of Digestive Diseases, Department of Internal Medicine Yale University School of Medicine New Haven Connecticut USA.
  • Ouyang X; Section of Digestive Diseases, Department of Internal Medicine Yale University School of Medicine New Haven Connecticut USA.
  • Pober JS; Department of Immunobiology Yale University New Haven Connecticut USA.
  • Saltzman WM; Department of Biomedical Engineering Yale University New Haven Connecticut USA.
  • Tietjen GT; Department of Surgery Yale School of Medicine New Haven Connecticut USA.
Bioeng Transl Med ; 7(1): e10242, 2022 Jan.
Article em En | MEDLINE | ID: mdl-35111944
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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Qualitative_research Idioma: En Ano de publicação: 2022 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Qualitative_research Idioma: En Ano de publicação: 2022 Tipo de documento: Article