Implication of tumor morphology and MRI characteristics on the accuracy of automated versus human segmentation of GBM areas

Implication of tumor morphology and MRI characteristics on the accuracy of automated versus human segmentation of GBM areas

Abstract An assessment scheme is proposed to evaluate GBM gross tumor core and T2-FLAIR hyper-intensity segmentations on preoperative multicentric MR images as a function of tumor morphology and MRI characteristics. 74 gross tumor core and T2-FLAIR hyper-intensity BraTS-Toolkit and DeepBraTumIA auto...

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Bibliographic Details
Main Authors: Valeria Cerina, Chiara Benedetta Rui, Andrea Di Cristofori, Davide Ferlito, Giorgio Carrabba, Carlo Giussani, Gianpaolo Basso, Elisabetta De Bernardi
Format: Article
Language:English
Published: Nature Portfolio 2025-01-01
Series:Scientific Reports
Subjects:
Glioblastoma
Automatic segmentation
Surgical planning
BraTS-Toolkit
DeepBraTumIA
Manual segmentation
Online Access:https://doi.org/10.1038/s41598-025-85400-9
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https://doi.org/10.1038/s41598-025-85400-9

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