Automatic classification of lymphoma lesions in FDG-PET–Differentiation between tumor and non-tumor uptake

INTRODUCTION: The automatic classification of lymphoma lesions in PET is a main topic of ongoing research. An automatic algorithm would enable the swift evaluation of PET parameters, like texture and heterogeneity markers, concerning their prognostic value for patients outcome in large datasets. Mor...

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Detalles Bibliográficos
Autores principales: Georgi, Thomas W, Zieschank, Axel, Kornrumpf, Kevin, Kurch, Lars, Sabri, Osama, Körholz, Dieter, Mauz-Körholz, Christine, Kluge, Regine, Posch, Stefan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9015138/
https://www.ncbi.nlm.nih.gov/pubmed/35436321
http://dx.doi.org/10.1371/journal.pone.0267275

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9015138/
https://www.ncbi.nlm.nih.gov/pubmed/35436321
http://dx.doi.org/10.1371/journal.pone.0267275

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