Machine learning based radiomics approach for outcome prediction of meningioma – a systematic review [version 1; peer review: 2 approved]

Machine learning based radiomics approach for outcome prediction of meningioma – a systematic review [version 1; peer review: 2 approved]

Introduction Meningioma is the most common brain tumor in adults. Magnetic resonance imaging (MRI) is the preferred imaging modality for assessing tumor outcomes. Radiomics, an advanced imaging technique, assesses tumor heterogeneity and identifies predictive markers, offering a non-invasive alterna...

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Bibliographic Details
Main Authors: Saikiran Pendem, Divya B, Girish R Menon, Saroh S, Shailesh Nayak S, Prakashini K, Priyanka -
Format: Article
Language:English
Published: F1000 Research Ltd 2025-03-01
Series:F1000Research
Subjects:
Meningioma
recurrence
outcome prediction
overall survival analysis
machine learning
radiomic features
eng
Online Access:https://f1000research.com/articles/14-330/v1
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