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  Scopus ID: 21100926589

Alzheimer’s Disease Classification via Convolutional Neural Networks

A. Pranav Tej, K.V.S. Jayanth, C.H. Harshavardhan Reddy and Namani Deepika Rani

Abstract

Dementia most frequently results from Alzheimer’s disease (AD). The disease steadily worsens, starting with modest memory loss and perhaps progressing to speech loss and loss of sensation of one’s surroundings. Genetic, environmental, and behavioral factors are probably important factors, as well as age-related changes in the brain. When the disease is still in its early stages, a correct diagnosis of AD is crucial for patient treatment because it allows patients to begin preventative measures before irreversible brain damage happens. Most machine detection approaches are limited by congenital findings, despite the fact that computers have been used to diagnose AD in several recent studies.

Published on: December 12, 2023
doi: 10.17756/nwj.2023-s4-094
Citation: Pranav Tej A, Jayanth KVS, Reddy CHH, Rani ND. 2023. Alzheimer’s Disease Classification via Convolutional Neural Networks. NanoWorld J 9(S4): S552-S555.

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