Robustness of radiomic features in magnetic resonance imaging for patients with glioblastoma: Multi-center study

Robustness of radiomic features in magnetic resonance imaging for patients with glioblastoma: Multi-center study

Background and purpose: Radiomics offers great potential in improving diagnosis and treatment for patients with glioblastoma multiforme. However, in order to implement radiomics in clinical routine, the features used for prognostic modelling need to be stable. This comprises significant challenge in...

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Bibliographic Details
Main Authors: Natalia Saltybaeva, Stephanie Tanadini-Lang, Diem Vuong, Simon Burgermeister, Michael Mayinger, Andrea Bink, Nicolaus Andratschke, Matthias Guckenberger, Marta Bogowicz
Format: Article
Language:English
Published: Elsevier 2022-04-01
Series:Physics and Imaging in Radiation Oncology
Subjects:
Image normalization
Glioblastoma multiforme
Radiomics
Features stability
Prognostic modelling
Online Access:http://www.sciencedirect.com/science/article/pii/S240563162200046X

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http://www.sciencedirect.com/science/article/pii/S240563162200046X

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