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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Hlavní autoři:	Yasin Özkan, Yusuf Bahri Özçelik, Aytaç Altan
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	MDPI AG 2026-03-01
Edice:	Diagnostics
Témata:	brain tumor classification magnetic resonance imaging superb fairy-wren optimization metaheuristic feature selection hybrid machine learning framework
On-line přístup:	https://www.mdpi.com/2075-4418/16/5/819
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