Feasibility of radiomic feature harmonization for pooling of [18F]FET or [18F]GE-180 PET images of gliomas

Feasibility of radiomic feature harmonization for pooling of [18F]FET or [18F]GE-180 PET images of gliomas

Introduction: Large datasets are required to ensure reliable non-invasive glioma assessment with radiomics-based machine learning methods. This can often only be achieved by pooling images from different centers. Moreover, trained models should perform with high accuracy when applied to data from di...

Full description

Bibliographic Details
Main Authors: Adrian Jun Zounek, Nathalie Lisa Albert, Adrien Holzgreve, Marcus Unterrainer, Julia Brosch-Lenz, Simon Lindner, Andreas Bollenbacher, Guido Boening, Rainer Rupprecht, Matthias Brendel, Louisa von Baumgarten, Joerg-Christian Tonn, Peter Bartenstein, Sibylle Ziegler, Lena Kaiser
Format: Article
Language:English
Published: Elsevier 2023-02-01
Series:Zeitschrift für Medizinische Physik
Subjects:
Radiomics
Robustness
Data Pooling
FET PET
TSPO PET
Glioma
Online Access:http://www.sciencedirect.com/science/article/pii/S0939388922001386

Internet

http://www.sciencedirect.com/science/article/pii/S0939388922001386

Similar Items