학술논문

Detection of Dementia Disease using CNN Classifier by Comparing with ANN Classifier
Document Type
Conference
Source
2022 International Conference on Business Analytics for Technology and Security (ICBATS) Business Analytics for Technology and Security (ICBATS), 2022 International Conference on. :1-5 Feb, 2022
Subject
Communication, Networking and Broadcast Technologies
Computing and Processing
Engineering Profession
Geoscience
Robotics and Control Systems
Signal Processing and Analysis
Temperature measurement
Statistical analysis
Simulation
Software algorithms
Signal processing algorithms
Software
Classification algorithms
GSM
Novel Health Monitoring system
Body Sensor Network (BSN)
GPS
Pulse rate
Body Temperature
Bio signal processing
Language
Abstract
Aim: This work presents a comparative analysis of Dementia using CNN classifier to detect dementia with high accuracy and in less run time. Materials and methods: Convolutional neural network (CNN) and Artificial neural network (ANN) classifiers are implemented to detect dementia using 40 MRI brain data sets. Results: From the MATLAB simulation result, the CNN classifier achieves accuracy and detection rate of 96.3% and ANN achieves detection rate with 92.2% accuracy. Attained significant accuracy ratio (