Alzheimer’s Disease Detection using Deep Learning

Computer Engineering

Alzheimer’s Disease is a serious neurological brain condition. It damages brain cells leading patients to lose their memory, mental functioning and capacity to conduct everyday tasks. Alzheimer's disease is incurable, although early identification can significantly reduce symptoms. Machine learning algorithms can greatly increase the accuracy of Alzheimer's disease diagnosis. Deep learning approaches have recently seen a lot of success in medical picture analysis. However, there has been relatively limited research into using deep learning algorithms to identify and classify Alzheimer's disease. In this study, we described the detailed study which have already been done on detection/classification of Alzheimer's disease. We also highlighted methodology and results of five studies which have produced significant improved results compared traditional methods.

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