New Frontiers in Communication and Intelligent Systems
Detection and Classification of Alzheimer’s Disease using Deep Learning Techniques
Authors: Nagarathna C R and Kusuma M
Publishing Date: 05-05-2022
ISBN: 978-81-95502-00-4
Abstract
From the previous decade, the specialist utilized machine learning procedures for their examination. The goal of different applications is accomplished utilizing these methods. Alzheimer's is a physical brain disease, as of late much exploration is proceeding to foster a proficient model to analyze the beginning phases of Alzheimer's. Early detection of Alzheimer’s has been considered an interesting research as it helpful to the individual and their family to think about their future. In this paper, we tested the deep learning model for identifying and classifying the various phases of Alzheimer's. We analyzed the model for the Magnetic resonance imaging dataset received from Kaggle and achieved an accuracy of 94.74%.
Keywords
Alzheimer’s, Data preprocessing, CNN, Deep-learning.
Cite as
Nagarathna C R and Kusuma M, "Detection and Classification of Alzheimer’s Disease using Deep Learning Techniques", In: Rahul Srivastava and Aditya Kr. Singh Pundir (eds), New Frontiers in Communication and Intelligent Systems, SCRS, India, 2022, pp. 301-307. https://doi.org/10.52458/978-81-95502-00-4-31