Deep-EFNet: An Optimized EfficientNetB0 Architecture With Dual Regularization for Scalable Multi-Class Brain Tumor Classification in MRI

Deep-EFNet: An Optimized EfficientNetB0 Architecture With Dual Regularization for Scalable Multi-Class Brain Tumor Classification in MRI

Brain tumor classification from MRI images plays a crucial role in early diagnosis and treatment planning. While deep learning approaches have shown promise in this domain, achieving high accuracy (ACC) by maintaining model generalization across different datasets remains challenging. Existing appro...

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Bibliographic Details
Main Authors: Hussein Alshaari, Saeed Alqahtani
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Brain tumor classification
EfficientNetB0
transfer learning
MRI image analysis
hierarchical regularization
multi-class deep learning
Online Access:https://ieeexplore.ieee.org/document/10990262/
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