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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Detalles Bibliográficos
Autores principales: 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: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7105134/
https://www.ncbi.nlm.nih.gov/pubmed/32226030
http://dx.doi.org/10.1371/journal.pone.0230901

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7105134/
https://www.ncbi.nlm.nih.gov/pubmed/32226030
http://dx.doi.org/10.1371/journal.pone.0230901

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