A large scale multi institutional study for radiomics driven machine learning for meningioma grading

A large scale multi institutional study for radiomics driven machine learning for meningioma grading

Abstract This study aims to develop and evaluate radiomics-based machine learning (ML) models for predicting meningioma grades using multiparametric magnetic resonance imaging (MRI). The study utilized the BraTS-MEN dataset’s training split, including 698 patients (524 with grade 1 and 174 with grad...

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Bibliographic Details
Main Authors: Mert Karabacak, Shiv Patil, Rui Feng, Raj K. Shrivastava, Konstantinos Margetis
Format: Article
Language:English
Published: Nature Portfolio 2024-10-01
Series:Scientific Reports
Subjects:
Meningioma
Grading
Radiomics
Machine learning
MRI
Online Access:https://doi.org/10.1038/s41598-024-78311-8

Internet

https://doi.org/10.1038/s41598-024-78311-8

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