Your browser doesn't support javascript.
loading
Combining multimodal imaging and treatment features improves machine learning-based prognostic assessment in patients with glioblastoma multiforme.
Peeken, Jan C; Goldberg, Tatyana; Pyka, Thomas; Bernhofer, Michael; Wiestler, Benedikt; Kessel, Kerstin A; Tafti, Pouya D; Nüsslin, Fridtjof; Braun, Andreas E; Zimmer, Claus; Rost, Burkhard; Combs, Stephanie E.
Afiliación
  • Peeken JC; Department of Radiation Oncology, Klinikum rechts der Isar der Technischem Universität München (TUM), München, Germany.
  • Goldberg T; Deutsches Konsortium für Translationale Krebsforschung (DKTK), Partner Site Munich, Munich, Germany.
  • Pyka T; Department of Radiation Sciences (DRS), Institute of Innovative Radiotherapy (iRT), Helmholtz Zentrum München, Neuherberg, Germany.
  • Bernhofer M; Allianz SE, Munich, Germany.
  • Wiestler B; Department of Nuclear Medicine, Klinikum rechts der Isar der Technischen Universität München (TUM), Munich, Germany.
  • Kessel KA; Department for Bioinformatics and Computational Biology, Technical University of Munich (TUM), Garching, Germany.
  • Tafti PD; Department of Neuroradiology, Klinikum rechts der Isar der Technischen Universität, Munich (TUM), München, Germany.
  • Nüsslin F; Department of Radiation Oncology, Klinikum rechts der Isar der Technischem Universität München (TUM), München, Germany.
  • Braun AE; Deutsches Konsortium für Translationale Krebsforschung (DKTK), Partner Site Munich, Munich, Germany.
  • Zimmer C; Department of Radiation Sciences (DRS), Institute of Innovative Radiotherapy (iRT), Helmholtz Zentrum München, Neuherberg, Germany.
  • Rost B; Allianz SE, Munich, Germany.
  • Combs SE; Department of Radiation Oncology, Klinikum rechts der Isar der Technischem Universität München (TUM), München, Germany.
Cancer Med ; 8(1): 128-136, 2019 01.
Article en En | MEDLINE | ID: mdl-30561851
Asunto(s)
Palabras clave
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Base de datos: MEDLINE Asunto principal: Neoplasias Encefálicas / Glioblastoma / Aprendizaje Automático / Modelos Teóricos Tipo de estudio: Prognostic_studies Idioma: En Revista: Cancer Med Año: 2019 Tipo del documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Base de datos: MEDLINE Asunto principal: Neoplasias Encefálicas / Glioblastoma / Aprendizaje Automático / Modelos Teóricos Tipo de estudio: Prognostic_studies Idioma: En Revista: Cancer Med Año: 2019 Tipo del documento: Article