Analysis and Neural Modeling of MRI Scans in Alzheimer's Disease

Saluja, Avneet; Rawat, Kinjal; Mistry, Sakshi; Rajput, Aryan; Pathak, Tejas; Patel, Vishwas

doi:10.30476/jamsat.2022.94240.1033

Analysis and Neural Modeling of MRI Scans in Alzheimer's Disease

Document Type : Original Article

Authors

Avneet Saluja

Kinjal Rawat

Sakshi Mistry

Aryan Rajput

Tejas Pathak

Vishwas Patel

Department of Computer Science and Engineering, ITM Universe, Halol, Vadodara, Gujarat, India

10.30476/jamsat.2022.94240.1033

Abstract

This study is aimed to demonstrate how analysis and neural modeling of the MRI scans of patients with Alzheimer’s disease can help in its diagnosis at an early stage. This can guide an early prediction and if applied with instant medications then it can help diminish the deterioration rate of the brain cells of the patients. The dataset of the MRI scans of patients was analyzed with the help of machine learning algorithms including ANN (Artificial Neural Network), K Nearest Neighbour(KNN), Linear Regression, Support Vector Machine(SVM), RESNET50 (Residual Network), and Exploratory Data Analysis (EDA) which resulted with KNN having the highest precision rate for group classification.

Keywords

FDG-PET

PIB-PET

MCI

Diagnosis

Automated regions of interest