Brain tumor detection across diverse MR images: An automated triple-module approach integrating reduced fused deep features and machine learning

Brain tumor detection across diverse MR images: An automated triple-module approach integrating reduced fused deep features and machine learning

Brain tumors pose a significant threat to human health due to their potential to disrupt normal brain function. Early and accurate detection is crucial for effective treatment. This study proposes a novel triple-module approach for automated brain tumor classification from MRI images. The first modu...

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Bibliographic Details
Main Authors: Yugal Pande, Jyotismita Chaki
Format: Article
Language:English
Published: Elsevier 2025-03-01
Series:Results in Engineering
Subjects:
Brain tumor classification
Deep learning
Machine learning
MRI image analysis
Feature extraction
Dimensionality reduction
Online Access:http://www.sciencedirect.com/science/article/pii/S2590123024020759
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