Alzheimer’s Diseases Detection by using Convolution Neural Network

Alzheimer’s is a progressive disorder that impacts the brain, causing deterioration in memory and cognitive function. The condition is caused by the death of brain cells and their connections, leading to the brain’s shrinkage. Diagnosis of Alzheimer’s can be difficult as it presents itself differently in each individual. It can range from mild to severe cognitive impairment, or in some cases, there may be no obvious signs of dementia. The clinical history, neurological examination, and laboratory tests contribute to the diagnosis. Only trained experts can conduct the personal clinical history and neurological examination. Deep learning networks are types of artificial intelligence that learns from a given data and makes predictions based on such data. By examining brain scan images and identifying distinctions between healthy and diseased brain neurons. We have developed a model that aims to accurately identify the varying degrees of Alzheimer’s disease. Through training, it is expected to achieve optimal precision.