Automated brain tumor recognition using equilibrium optimizer with deep learning approach on MRI images

Automated brain tumor recognition using equilibrium optimizer with deep learning approach on MRI images

Abstract Brain tumours (BT) affect human health owing to their location. Artificial intelligence (AI) is intended to assist in diagnosing and treating complex diseases by combining technologies like deep learning (DL), big data analytics, and machine learning (ML). AI can identify and categorize tum...

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Bibliographic Details
Main Authors: Mahmoud Ragab, Iyad Katib, Sanaa A. Sharaf, Hassan A. Alterazi, Alanoud Subahi, Sana G. Alattas, Sami Saeed Binyamin, Jaber Alyami
Format: Article
Language:English
Published: Nature Portfolio 2024-11-01
Series:Scientific Reports
Subjects:
Brain tumor recognition
Magnetic resonance imaging
Equilibrium optimizer
Image processing
Median filtering
Stacked auto encoder
Online Access:https://doi.org/10.1038/s41598-024-80888-z
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https://doi.org/10.1038/s41598-024-80888-z

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