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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Kaydedildi:
Detaylı Bibliyografya
Yayımlandı:PLoS One
Asıl Yazarlar: 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
Materyal Türü: Artigo
Dil:Inglês
Baskı/Yayın Bilgisi: Public Library of Science 2020
Konular:
Research Article
Online Erişim: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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