REVIEW ON DETECTION OF ALZHEIMER'S DISEASE USING IMAGE PROCESSING AT EARLY STAGE
Author(s):
T SANGEETHA DEVI, Dr V.RAGHAVENDRAN, Dr.M.RAHIMA BEEVI
Keywords:
Alzheimer’s disease, Image processing, Artificial intelligence, Machine learning and Deep learning
Abstract
Personal lifestyle, genetics, and other environmental factors lead to Alzheimer’s disease (AD), which is an irretrievable disease that demolishes the brain’s memory cells gradually. Early detection of AD, which is a significant challenge, is essential for solidifying the patient's quality of life and establishing efficient care along with the targeted medicine. Recently, in predicting AD, Artificial Intelligence (AI)-centric approaches, namely Machine Learning (ML) and Deep Learning (DL) have exhibited great promise. In recent days, for medical staff, there is an inevitable trend for detecting AD in disparate phases by the combination of functional Magnetic Resonance Imaging (fMRI) and AI approaches like DL. The DL algorithm’s human-level performance has been efficiently displayed in disparate disciplines. Hence, this work explains AD, the detection of AD utilizing Image Processing (IP) at an early stage, types of IP modalities utilized for the earlier detection of AD, AI approaches utilized in AD detection at an early stage, and performance comparison of AI approaches utilized in AD detection at an earlier stage.
Article Details
Unique Paper ID: 160832

Publication Volume & Issue: Volume 10, Issue 1

Page(s): 1464 - 1469
Article Preview & Download


Share This Article

Conference Alert

NCSST-2023

AICTE Sponsored National Conference on Smart Systems and Technologies

Last Date: 25th November 2023

SWEC- Management

LATEST INNOVATION’S AND FUTURE TRENDS IN MANAGEMENT

Last Date: 7th November 2023

Go To Issue



Call For Paper

Volume 10 Issue 1

Last Date for paper submitting for March Issue is 25 June 2023

About Us

IJIRT.org enables door in research by providing high quality research articles in open access market.

Send us any query related to your research on editor@ijirt.org

Social Media

Google Verified Reviews