Magnetic resonance imaging-based deep learning for predicting subtypes of glioma

Magnetic resonance imaging-based deep learning for predicting subtypes of glioma

PurposeTo explore the value of deep learning based on magnetic resonance imaging (MRI) in the classification of glioma subtypes.MethodsThis study retrospectively included 747 adult patients with surgically pathologically confirmed gliomas from a public database and 64 patients from our hospital. Pat...

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Bibliographic Details
Main Authors: Zhen Yang, Peng Zhang, Yi Ding, Liyi Deng, Tong Zhang, Yong Liu
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-01-01
Series:Frontiers in Neurology
Subjects:
deep learning
IDH
glioma
1p/19q
MRI
Online Access:https://www.frontiersin.org/articles/10.3389/fneur.2025.1518815/full
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