Histopathological-based brain tumor grading using 2D-3D multi-modal CNN-transformer combined with stacking classifiers

Abstract Reliability in diagnosing and treating brain tumors depends on the accurate grading of histopathological images. However, limited scalability, adaptability, and interpretability challenge current methods for frequently grading brain tumors to accurately capture complex spatial relationships...

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Bibliographic Details

Published in:	Scientific Reports
Main Authors:	Naira Elazab, Fahmi Khalifa, Wael Gab Allah, Mohammed Elmogy
Format:	Article
Language:	English
Published:	Nature Portfolio 2025-07-01
Subjects:	Brain tumor grading Histopathological image analysis Hybrid deep learning architecture Vision transformer 2D-3D convolutional neural network Stacking classifiers
Online Access:	https://doi.org/10.1038/s41598-025-11754-9