Enhancing Alzheimer’s Diagnosis with Optimized CNNs: A Particle Swarm Approach

Alzheimer's disease (AD), a neurodegenerative disorder prevalent in older adults, has posed challenges in early detection and diagnosis. Early identification is crucial as it can significantly improve treatment efficacy. This paper presents a novel approach using Convolutional Neural Networks (CNNs), optimized with particle swarm optimization (PSO) to classify the severity of Alzheimer's disease using magnetic resonance imaging (MRI). The proposed method aims to enhance the accuracy and efficiency of diagnostic processes.