Abstract

According to statistics, Alzheimer's is the fourth leading cause of mortality in the US and its annual death toll is steadily rising. Additionally, it has been seen to be developing moderately in Asian nations; by 2050, half of all Alzheimer sufferers would come from these countries. While there are currently no known medications that can entirely cure Alzheimer's, early detection of the disease can help doctors treat patients appropriately, extending their lives and improving their quality of life. A computerised detection system may be employed to help physicians identify Alzheimer's and to detect the disease early. Many CAD systems were created in the past, mostly for the benefit of public health, however the majority of them had poorer accuracy rates. Therefore, it is necessary to design an effective CAD system that can accurately anticipate the presence of AD. In this paper, a CAD system for accurately detecting if a patient has Alzheimer's disease or not was established. Medical professionals may now reliably and swiftly identify a wide range of diseases and ailments with the aid of computer algorithms, artificial intelligence, and medical imaging thanks to the rapidly expanding field of computer-aided diagnosis (CAD).

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