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MRI-based radiomics in breast cancer: feature robustness with respect to inter-observer segmentation variability.
Granzier, R W Y; Verbakel, N M H; Ibrahim, A; van Timmeren, J E; van Nijnatten, T J A; Leijenaar, R T H; Lobbes, M B I; Smidt, M L; Woodruff, H C.
Afiliação
  • Granzier RWY; Department of Surgery, Maastricht University Medical Center+, P.O. Box 5800, 6202 AZ, Maastricht, The Netherlands. r.granzier@maastrichtuniversity.nl.
  • Verbakel NMH; GROW - School for Oncology and Developmental Biology, Maastricht University, Maastricht, The Netherlands. r.granzier@maastrichtuniversity.nl.
  • Ibrahim A; Department of Surgery, Maastricht University Medical Center+, P.O. Box 5800, 6202 AZ, Maastricht, The Netherlands.
  • van Timmeren JE; GROW - School for Oncology and Developmental Biology, Maastricht University, Maastricht, The Netherlands.
  • van Nijnatten TJA; Department of Radiology and Nuclear Medicine, Maastricht University Medical Center+, Maastricht, The Netherlands.
  • Leijenaar RTH; The D-Lab, Department of Precision Medicine, Maastricht University, Maastricht, The Netherlands.
  • Lobbes MBI; Division of Nuclear Medicine and Oncological Imaging, Department of Medical Physics, Hospital Center Universitaire De Liege, Liège, Belgium.
  • Smidt ML; Department of Nuclear Medicine and Comprehensive Diagnostic Center Aachen (CDCA), University Hospital RWTH Aachen University, Aachen, Germany.
  • Woodruff HC; GROW - School for Oncology and Developmental Biology, Maastricht University, Maastricht, The Netherlands.
Sci Rep ; 10(1): 14163, 2020 08 25.
Article em En | MEDLINE | ID: mdl-32843663
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias da Mama / Imageamento por Ressonância Magnética / Interpretação de Imagem Assistida por Computador / Variações Dependentes do Observador / Biologia Computacional / Imageamento Tridimensional / Ensaios de Triagem em Larga Escala Tipo de estudo: Guideline / Observational_studies Limite: Female / Humans Idioma: En Ano de publicação: 2020 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias da Mama / Imageamento por Ressonância Magnética / Interpretação de Imagem Assistida por Computador / Variações Dependentes do Observador / Biologia Computacional / Imageamento Tridimensional / Ensaios de Triagem em Larga Escala Tipo de estudo: Guideline / Observational_studies Limite: Female / Humans Idioma: En Ano de publicação: 2020 Tipo de documento: Article