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

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
Main Authors: Naira Elazab, Fahmi Khalifa, Wael Gab Allah, Mohammed Elmogy
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Scientific Reports
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
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https://doi.org/10.1038/s41598-025-11754-9

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