CLASSIFICATION OF ALZHEIMER’S DISEASE STAGES USING A DEEPAQUILACONVOLUTIONALNEURAL NETWORK

Volume 20 No 6 (2022)

Dr.S.Vairaprakash , Dr. Ahilan Appathurai , Dr.Gayathri

DOI: 10.14704/nq.2022.20.6.NQ22182

Abstract

Alzheimer's disease (AD) is the primary cause of death in the elderly, and diagnosing the disease in its early stages can be difficult with traditional manual methods. Additionally, machine learning (ML) methods have successfully demonstrated their reliability and efficacy as a reliable early diagnosis option for Alzheimer's disease. Due to the heterogeneous dimensions and composition of ailment data, diagnosing it is more challenging, so a proper classification process is required

Keywords

Alzheimer’s disease, MRI images, Classification, Convolutional neural network, Aquila optimizer.

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