Hybrid transfer learning and self-attention framework for robust MRI-based brain tumor classification

Hybrid transfer learning and self-attention framework for robust MRI-based brain tumor classification

Abstract Brain tumors are a significant contributor to cancer-related deaths worldwide. Accurate and prompt detection is crucial to reduce mortality rates and improve patient survival prospects. Magnetic Resonance Imaging (MRI) is crucial for diagnosis, but manual analysis is resource-intensive and...

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Bibliographic Details
Main Authors: Soumyarashmi Panigrahi, Dibya Ranjan Das Adhikary, Binod Kumar Pattanayak
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Scientific Reports
Subjects:
Deep Learning
Brain Tumor Classification
Transfer Learning
DenseNet201 Pre-trained Model
Self Attention
Squeeze-and-Excitation
Online Access:https://doi.org/10.1038/s41598-025-09311-5
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https://doi.org/10.1038/s41598-025-09311-5

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