Author : Arpita Raut 1
Date of Publication :7th February 2017
Abstract: Alzheimer’s is a progressive and irreversible neurological disease. It is the most common cause of dementia in people of the age group 65 years and above. Detection of Alzheimer’s disease in the early stage is very crucial as it can prevent serious damage to the patient’s brain. Many different methods have been proposed to detect Alzheimer’s disease. In this paper, we have surveyed different techniques and approaches for detection of Alzheimer’s disease.
Reference :
-
- Ali H. Al-nuaimi et.al “Changes in the EEG Amplitude as a Biomarker for Early Detection of Alzheimer's Disease”,2016 30th Annual International Conference of the IEEE Engineering in Medicine and Biology society (EMBC).
- Jiehui Jiang et.al “A Computed Aided Diagnosis tool for Alzheimer’s Disease based on 11C-PiB PET imaging technique”, IEEE International Conference on Information and Automation Lijiang, China, August 2015.
- R. Chaves et.al “FDG and PIB Biomarker PET Analysis for the Alzheimer's Disease Detection Using Association Rules”, 2012 IEEE Nuclear Science Symposium and Medical Imaging Conference Record (NSS/MIC)
- Imene Garali et.al “Region-Based Brain Selection and Classification on PET Images for Alzheimer’s Disease Computer Aided Diagnosis”,2015 IEEE International Conference on Image Processing (ICIP).
- Ali H. Al-nuaimi et.al “Tsallis Entropy as a Biomarker for Detection of Alzheimer’s Disease”,2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).
- Yang Han, Xing-Ming Zhao “A hybrid sequential feature selection approach for the diagnosis of Alzheimer's Disease”, 2016 International Joint Conference on Neural Networks (IJCNN).
- M.RANGINI, Dr.G,WISELIN JIJI “Detection of Alzheimer’s Disease Through Automated Hippocampal Segmentation”, 2013 International Multi-Conference on Automation, Computing, Communication, Control and Compressed Sensing (iMAC4s).
- Devvi Sarwinda , Alhadi Bustamam “Detection of Alzheimer’s Disease Using Advanced Local Binary Pattern from Hippocampus and Whole Brain of MR Images”, 2016 International Joint Conference on Neural Networks (IJCNN).
- S. Saraswathi et.al “Detection of onset of Alzheimer’s Disease from MRI images Using a GAELM-PSO Classifier”, 2013 Fourth International Workshop on Computational Intelligence in Medical Imaging (CIMI).
- Devvi Sarwinda, Aniati M. Arymurthy “Feature Selection Using Kernel PCA for Alzheimer’s Disease Detection with 3D MR Images of Brain”, 2013 International Conference on Advanced Computer Science and Information Systems (ICACSIS)
- Mayank Agarwal, Javed Mostafa “Content-based Image Retrieval for Alzheimer’s Disease Detection”, 2011 9th International Workshop on Content-Based Multimedia Indexing (CBMI).
- Chetan Patil et.al “Early Detection of Alzheimer’s Disease”, 2015 IEEE International Conference on Signal Processing, Informatics, Communication and Energy Systems (SPICES).
- Lauge Sørensen et.al “Early detection of Alzheimer’s disease using MRI hippocampal texture”, US National Library of Medicine National Institute of Health, DOI:10.1002/hbm.23091,Epub 2015 Dec 21.
- RigelMahmood, BishadGhimire “Automatic Detection and Classification of Alzheimer's Disease from MRI Scans Using Principal Component Analysis and Artificial Neural Networks”, 2013 20th International Conference on Systems, Signal and Image Processing (IWSSIP).
- M.Evanchalin,Sweety,G.Wiselin Jiji “Detection of Alzheimer Disease in Brain Images Using PSO and Decision Tree Approach”, 2014 IEEE International Conference on Advanced Communication Control and Computing Technologies (ICACCCT).