PROJECT TITLE :
Alzheimers Diseases Detection by Using Deep Learning Algorithms
ABSTRACT:
Accurate Alzheimer's disease (AD) diagnosis is critical for patient treatment, especially in the early stages of the disease, because risk knowledge allows patients to take preventive treatments before irreversible brain damage occurs.
Although computers have been used to diagnose Alzheimer's disease in a number of recent research, most machine detection methods are restricted by congenital observations. Early stages of Alzheimer's disease can be diagnosed, but not anticipated, because prediction is only possible before the disease reveals itself. Deep Learning (DL) has become a popular method for detecting Alzheimer's disease early on.
Here, we take a look at some of the most relevant research on Alzheimer's disease and see how DL can aid researchers in diagnosing the condition early on.
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