MRI-based brain tumor ensemble classification using two stage score level fusion and CNN models

MRI-based brain tumor ensemble classification using two stage score level fusion and CNN models

This paper proposes a novel two-stage approach to improve brain tumor classification accuracy using the Br35H MRI Scan Dataset. The first stage employs advanced image enhancement algorithms, GFPGAN and Real-ESRGAN, to enhance the image dataset’s quality, sharpness, and resolution. Nine deep learning...

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Bibliographic Details
Main Authors:	Oussama Bouguerra, Bilal Attallah, Youcef Brik
Format:	Article
Language:	English
Published:	Elsevier 2024-12-01
Series:	Egyptian Informatics Journal
Subjects:	Convolution neural network Deep neural networks (DNNs) Ensemble learning Score level fusion Brain tumor classification
Online Access:	http://www.sciencedirect.com/science/article/pii/S1110866524001282
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