Interobserver ground-truth variability limits performance of automated glioblastoma segmentation on [18F]FET PET

Interobserver ground-truth variability limits performance of automated glioblastoma segmentation on [18F]FET PET

Abstract Background Positron emission tomography (PET) with a [18F]fluoroethyl)-L-tyrosine ([18F]FET) tracer is of growing importance in the management of glioblastoma for the estimation of tumor extent and extraction of diagnostic and prognostic parameters. Robust and accurate glioblastoma segmenta...

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Bibliographic Details
Main Authors: Selene De Sutter, Ine Dirks, Laurens Raes, Wietse Geens, Hendrik Everaert, Sophie Bourgeois, Johnny Duerinck, Jef Vandemeulebroucke
Format: Article
Language:English
Published: SpringerOpen 2025-06-01
Series:EJNMMI Physics
Subjects:
Brain
Glioblastoma
Positron emission tomography
Deep learning
Segmentation
Online Access:https://doi.org/10.1186/s40658-025-00767-y
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