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Machine learning in the differentiation of follicular lymphoma from diffuse large B-cell lymphoma with radiomic [18F]FDG PET/CT features.
de Jesus, F Montes; Yin, Y; Mantzorou-Kyriaki, E; Kahle, X U; de Haas, R J; Yakar, D; Glaudemans, A W J M; Noordzij, W; Kwee, T C; Nijland, M.
Affiliation
  • de Jesus FM; Universitair Medisch Centrum Groningen, Groningen, Netherlands. f.m.montes.de.jesus@umcg.nl.
  • Yin Y; Universitair Medisch Centrum Groningen, Groningen, Netherlands.
  • Mantzorou-Kyriaki E; Universitair Medisch Centrum Groningen, Groningen, Netherlands.
  • Kahle XU; Universitair Medisch Centrum Groningen, Groningen, Netherlands.
  • de Haas RJ; Universitair Medisch Centrum Groningen, Groningen, Netherlands.
  • Yakar D; Universitair Medisch Centrum Groningen, Groningen, Netherlands.
  • Glaudemans AWJM; Universitair Medisch Centrum Groningen, Groningen, Netherlands.
  • Noordzij W; Universitair Medisch Centrum Groningen, Groningen, Netherlands.
  • Kwee TC; Universitair Medisch Centrum Groningen, Groningen, Netherlands.
  • Nijland M; Universitair Medisch Centrum Groningen, Groningen, Netherlands.
Eur J Nucl Med Mol Imaging ; 49(5): 1535-1543, 2022 04.
Article in En | MEDLINE | ID: mdl-34850248
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Full text: 1 Database: MEDLINE Main subject: Lymphoma, Follicular / Lymphoma, Large B-Cell, Diffuse Type of study: Observational_studies Limits: Humans Language: En Journal: Eur J Nucl Med Mol Imaging Journal subject: MEDICINA NUCLEAR Year: 2022 Type: Article Affiliation country: Netherlands
Fulltext
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Full text: 1 Database: MEDLINE Main subject: Lymphoma, Follicular / Lymphoma, Large B-Cell, Diffuse Type of study: Observational_studies Limits: Humans Language: En Journal: Eur J Nucl Med Mol Imaging Journal subject: MEDICINA NUCLEAR Year: 2022 Type: Article Affiliation country: Netherlands