PET segmentation of bulky tumors: Strategies and workflows to improve inter-observer variability

BACKGROUND: PET-based tumor delineation is an error prone and labor intensive part of image analysis. Especially for patients with advanced disease showing bulky tumor FDG load, segmentations are challenging. Reducing the amount of user-interaction in the segmentation might help to facilitate segmen...

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Detalhes bibliográficos
Publicado no:PLoS One
Main Authors: Pfaehler, Elisabeth, Burggraaff, Coreline, Kramer, Gem, Zijlstra, Josée, Hoekstra, Otto S., Jalving, Mathilde, Noordzij, Walter, Brouwers, Adrienne H., Stevenson, Marc G., de Jong, Johan, Boellaard, Ronald
Formato: Artigo
Idioma:Inglês
Publicado em: Public Library of Science 2020
Assuntos:
Research Article
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC7105134/
https://ncbi.nlm.nih.gov/pubmed/32226030
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0230901
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