An In-Depth Study of Alzheimer's Detection: Leveraging OASIS MRI with a 19- Layer CNN

The primary cause of dementia is Alzheimer's disease (AD). It's a condition resulting in a decline in thinking in day-to-day activities due to brain cell degeneration. The cholinergic and amyloid hypotheses have been put forth as causes of AD, which is thought to be a multifactorial disease. The disease is also influenced by several risk factors, including genetics, aging, infections, etc. Since there is no known cure for this disease, many people lose their lives to it every year; however, early detection can help stop its spread. Most victims of this disease are older adults over 60. The reason is still unclear, but it might run in the family. Effective treatment for Alzheimer's disease depends on a precise diagnosis, which poses a serious global health concern. There have been many proposed techniques and strategies; among them, MRI scans are the most widely used. Because MRI is non-invasive and produces high-quality images, it has become a powerful tool for early identification and monitoring. Decision-making in clinical medical care and therapy planning can be supported by computer-aided methods, which have demonstrated beneficial effects for diagnosing and forecasting brain disorders. The paper results in the early detection of AD via a 19-layer CNN and achieved an accuracy of 92 % for identifying the earliest signs of Alzheimer's disease and classifying its various stages.