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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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Principais autores: Yeqian Huang, Linyan Chen, Zhiyuan Zhang, Yu Liu, Leizhen Huang, Yang Liu, Pengcheng Liu, Fengqin Song, Zhengyong Li, Zhenyu Zhang
Formato: Artigo
Idioma:Inglês
Publicado em: Frontiers Media S.A. 2025-04-01
coleção:Frontiers in Medicine
Assuntos:
glioblastoma
histopathological image
genomics
transcriptomics
proteomics
prognosis
Acesso em linha:https://www.frontiersin.org/articles/10.3389/fmed.2025.1510793/full
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