Multimodal data integration using deep learning predicts overall survival of patients with glioma

Abstract Gliomas are highly heterogenous diseases with poor prognosis. Precise survival prediction could benefit further clinical decision‐making, clinical trial incursion, and health economics. Recent research has emphasized the prognostic value of magnetic resonance imaging, pathological specimens...

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Published in:	View
Main Authors:	Yifan Yuan, Xuan Zhang, Yining Wang, Hongyan Li, Zengxin Qi, Zunguo Du, Ying‐Hua Chu, Danyang Feng, Jie Hu, Qingguo Xie, Jianping Song, Yuqing Liu, Jiajun Cai
Format:	Article
Language:	English
Published:	Wiley 2024-10-01
Subjects:	5‐hydroxymethylcytosines deep learning glioma multimodal integration
Online Access:	https://doi.org/10.1002/VIW.20240001