Optimizing meningioma grading with radiomics and deep features integration, attention mechanisms, and reproducibility analysis.
Journal:
European journal of medical research
Published Date:
Aug 26, 2025
Abstract
OBJECTIVE: This study aims to develop a robust and clinically applicable framework for preoperative grading of meningiomas using T1-contrast-enhanced and T2-weighted MRI images. The approach integrates radiomic feature extraction, attention-guided deep learning models, and reproducibility assessment to achieve high diagnostic accuracy, model interpretability, and clinical reliability.