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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Main Authors: | , , , , , |
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Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2025-01-01
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Series: | Frontiers in Neurology |
Subjects: | |
Online Access: | https://www.frontiersin.org/articles/10.3389/fneur.2025.1518815/full |
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