Role of Feature Diversity in the Performance of Hybrid Models—An Investigation of Brain Tumor Classification from Brain MRI Scans

Role of Feature Diversity in the Performance of Hybrid Models—An Investigation of Brain Tumor Classification from Brain MRI Scans

<b>Introduction</b>: Brain tumor, marked by abnormal and rapid cell growth, poses severe health risks and requires accurate diagnosis for effective treatment. Classifying brain tumors using deep learning techniques applied to Magnetic Resonance Imaging (MRI) images has attracted the atte...

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Bibliographic Details
Main Authors: Subhash Chand Gupta, Shripal Vijayvargiya, Vandana Bhattacharjee
Format: Article
Language:English
Published: MDPI AG 2025-07-01
Series:Diagnostics
Subjects:
brain tumor
deep learning
VGG16 model
DensetNet121 model
ResNet50 model
feature fusion
Online Access:https://www.mdpi.com/2075-4418/15/15/1863
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