Integration of histopathological image features and multi-dimensional omics data in predicting molecular features and survival in glioblastoma

ObjectivesGlioblastoma (GBM) is a highly malignant brain tumor with complex molecular mechanisms. Histopathological images provide valuable morphological information of tumors. This study aims to evaluate the predictive potential of quantitative histopathological image features (HIF) for molecular c...

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Главные авторы:	Yeqian Huang, Linyan Chen, Zhiyuan Zhang, Yu Liu, Leizhen Huang, Yang Liu, Pengcheng Liu, Fengqin Song, Zhengyong Li, Zhenyu Zhang
Формат:	Artigo
Язык:	Inglês
Опубликовано:	Frontiers Media S.A. 2025-04-01
Серии:	Frontiers in Medicine
Предметы:	glioblastoma histopathological image genomics transcriptomics proteomics prognosis
Online-ссылка:	https://www.frontiersin.org/articles/10.3389/fmed.2025.1510793/full
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