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Automatic classification of lymphoma lesions in FDG-PET-Differentiation between tumor and non-tumor uptake.
Georgi, Thomas W; Zieschank, Axel; Kornrumpf, Kevin; Kurch, Lars; Sabri, Osama; Körholz, Dieter; Mauz-Körholz, Christine; Kluge, Regine; Posch, Stefan.
Afiliação
  • Georgi TW; Department of Nuclear Medicine, University of Leipzig, Leipzig, Germany.
  • Zieschank A; Institute of Computer Science, Martin-Luther-University of Halle and Wittenberg, Halle, Saale, Germany.
  • Kornrumpf K; Institute of Computer Science, Martin-Luther-University of Halle and Wittenberg, Halle, Saale, Germany.
  • Kurch L; Department of Nuclear Medicine, University of Leipzig, Leipzig, Germany.
  • Sabri O; Department of Nuclear Medicine, University of Leipzig, Leipzig, Germany.
  • Körholz D; Department of Pediatric Oncology, Justus-Liebig-University, Giessen, Germany.
  • Mauz-Körholz C; Department of Pediatric Oncology, Justus-Liebig-University, Giessen, Germany.
  • Kluge R; Department of Nuclear Medicine, University of Leipzig, Leipzig, Germany.
  • Posch S; Institute of Computer Science, Martin-Luther-University of Halle and Wittenberg, Halle, Saale, Germany.
PLoS One ; 17(4): e0267275, 2022.
Article em En | MEDLINE | ID: mdl-35436321
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Doença de Hodgkin / Linfoma Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article
Texto completo
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XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Doença de Hodgkin / Linfoma Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article