Graph feature selection for enhancing radiomic stability and reproducibility across multiple institutions in head and neck cancer

Graph feature selection for enhancing radiomic stability and reproducibility across multiple institutions in head and neck cancer

Abstract Radiomic biomarkers offer promise for precision oncology. However, their clinical utility is limited by variability from differing imaging protocols and the high dimensionality of radiomics data. Feature selection is key for better interpretability, accuracy, and efficiency, yet traditional...

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Main Authors: Hajar Moradmand, Jason Molitoris, Xiao Ling, Lisa Schumaker, Erin Allor, Hannah Thomas, Danielle Arons, Matthew Ferris, Rebecca Krc, William Silva Mendes, Phuoc Tran, Amit Sawant, Ranee Mehra, Daria A. Gaykalova, Lei Ren
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-025-12161-w
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https://doi.org/10.1038/s41598-025-12161-w

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