Advancing Brain MRI Image Classification: Integrating VGG16 and ResNet50 with a Multi-Verse Optimization Method

Advancing Brain MRI Image Classification: Integrating VGG16 and ResNet50 with a Multi-Verse Optimization Method

<b>Background/Objectives:</b> The accurate categorization of brain MRI images into tumor and non-tumor categories is essential for a prompt and effective diagnosis. This paper presents a novel methodology utilizing advanced Convolutional Neural Network (CNN) designs to tackle the complex...

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Bibliographic Details
Main Authors: Nazanin Tataei Sarshar, Soroush Sadeghi, Mohammadreza Kamsari, Mahrokh Avazpour, Saeid Jafarzadeh Ghoushchi, Ramin Ranjbarzadeh
Format: Article
Language:English
Published: MDPI AG 2024-11-01
Series:BioMed
Subjects:
brain tumor classification
MRI image analysis
optimization
deep learning
data augmentation
multi-verse optimizer
Online Access:https://www.mdpi.com/2673-8430/4/4/38
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