Unveiling Alzheimer's

Abstract

Alzheimer's disease primarily affects older adults and is marked by progressive memory loss, cognitive decline, and various physiological and psychological symptoms. This neuro degenerative condition significantly impacts patients, diminishing their quality of life. Alzheimer's disease (AD) is the leading cause of dementia globally, impacting neurological health. Deep learning techniques offer a potential solution by enhancing efficiency and scalability. They enable automated and early disease diagnosis. Advances in computational power and image analysis techniques have transformed medical imaging. Magnetic resonance imaging (MRI) provides detailed brain images aiding in diagnosis. A three-dimensional MRI image of AD diseases is transformed into two-dimensional image slices. These slices are then fed into a PSP-Net neural network, which is trained to identify key features then VGG16 network analyzes regions of interest within images and distinguishes between Alzheimer patient from normal individuals and facilitating accurate classification.