Leveraging Brain MRI for Biomedical Alzheimer's Disease Diagnosis Using Enhanced Manta Ray Foraging Optimization Based Deep Learning

Alzheimer's disease (AD) is the most frequent method of dementia and ranks the fifth-leading disease. Brain imaging or neuroimaging like magnetic resonance imaging (MRI) was utilized in the medicinal analysis of brain condition to allow visualization of infrastructure and brain functionality. M...

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Veröffentlicht in:	IEEE access 2023, Vol.11, p.81921-81929
Hauptverfasser:	Jamalullah, R. Syed, Gladence, L. Mary, Ahmed, Mohammed Altaf, Lydia, E. Laxmi, Ishak, Mohamad Khairi, Hadjouni, Myriam, Mostafa, Samih M.
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Alzheimer's disease Artificial neural networks Back propagation networks biomedical imaging Brain Brain modeling Brain MRI Classification algorithms Convolutional neural networks Deep learning Diagnosis Diseases Feature extraction Hierarchies Machine learning Magnetic resonance imaging Medical diagnosis Medical imaging metaheuristics Neural networks neuroimaging data Optimization User requirements
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