Majority Voting Ensemble of Deep CNNs for Robust MRI-Based Brain Tumor Classification

Majority Voting Ensemble of Deep CNNs for Robust MRI-Based Brain Tumor Classification

<b>Background/Objectives</b>: Accurate classification of brain tumors is critical for treatment planning and prognosis. While deep convolutional neural networks (CNNs) have shown promise in medical imaging, few studies have systematically compared multiple architectures or integrated ens...

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Bibliographic Details
Main Authors: Kuo-Ying Liu, Nan-Han Lu, Yung-Hui Huang, Akari Matsushima, Koharu Kimura, Takahide Okamoto, Tai-Been Chen
Format: Article
Language:English
Published: MDPI AG 2025-07-01
Series:Diagnostics
Subjects:
brain tumor classification
convolutional neural networks
MRI
ensemble learning
majority voting
deep learning
Online Access:https://www.mdpi.com/2075-4418/15/14/1782
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