Alzheimer’s Disease Early Detection using Deep Learning Techniques

Abstract: Alzheimer’s Disease (AD) is very common neurological diseases these days. Alzheimer's disease (AD) is one of the most neurological disorders. One such condition that gradually deprives people of their memories and other crucial mental abilities and eventually results in dementia is Alzheimer's. To prevent any significant breakdown, it is essential to identify and treat it in its early stages. Although AD is exceedingly difficult to diagnose using conventional medical techniques, they employed multiple classifications on MRI scans. Imaging acquisition and pre-processing have been done to achieve better results. There have been many methods developed over the years to identify and cure brain disorders, but with the quick advancement of technology, this study has developed an idea to incorporate deep learning methods to identify and gauge a patient's brain status.

Keywords: Convolutional Neural Network (CNN), Densenet121, InceptionV3, Resnet50, VGG16, Deep Learning (DL), Kaggle ADNI Dataset.