Optimization-Driven Hybrid Machine Learning Framework for Brain Tumor Classification in MRI with Metaheuristic Feature Selection

<b>Background/Objectives:</b> Brain tumors are among the most severe neurological disorders, and their variability in size, morphology, and anatomical location complicates early and accurate diagnosis. Although magnetic resonance imaging (MRI) is the most reliable non-invasive modality for tumor det...

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Hauptverfasser:	Yasin Özkan, Yusuf Bahri Özçelik, Aytaç Altan
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	MDPI AG 2026-03-01
Schriftenreihe:	Diagnostics
Schlagworte:	brain tumor classification magnetic resonance imaging superb fairy-wren optimization metaheuristic feature selection hybrid machine learning framework
Online-Zugang:	https://www.mdpi.com/2075-4418/16/5/819
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