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Article

Identification of Glioma Phenotypic Subtypes From Multimodal MRI Data Using Hierarchical Multi-Kernel Learning.

Cancer medicine - 1 Feb 2026

Yan Junyu, Hao Min, Wang Tong, Yang Qi, Jia Congcong, Niu Wenju, Tan Yan, Zhang Hui, Cao Hongyan, Yang Guoqiang

Abstract excerpt

BACKGROUND: Gliomas are the most common primary brain tumors, exhibiting significant phenotypic variability even within the same grade. Identifying glioma subtypes through non-invasive methods could improve patient management. METHODS: In this study, we applied hierarchical multi-kernel learning to identify glioma phenotypic subtypes using MRI data (T1CE and T2FLAIR) from the First Hospital of Shanxi Medical...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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Identifiers

PMID: 41621832
DOI: 10.1002/cam4.71572
PMCID: PMC12861564

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