Deep learning model for prediction of progressive mild cognitive impairment to Alzheimer's disease using structural MRI / Lim Bing Yan
Alzheimer’s disease (AD), an irreversible neurodegenerative disorder that has caused the majority cases of dementia, wherein patients suffer progressive memory loss and cognitive function decline. Despite having no drugs for curing, early detection of AD allows the provision of preventive treatment...
Saved in:
Main Author: | Lim, Bing Yan |
---|---|
Format: | Thesis |
Published: |
2021
|
Subjects: | |
Online Access: | http://studentsrepo.um.edu.my/13016/1/Lim_Bing_Yan.jpg http://studentsrepo.um.edu.my/13016/8/bing_yan.pdf http://studentsrepo.um.edu.my/13016/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Deep learning model for prediction of progressive mild cognitive impairment to Alzheimer's disease using structural MRI
by: Lim, Bing Yan, et al.
Published: (2022) -
Identifying the mechanism to forecast the progression of Alzheimer’s disease from mild cognitive impairment using deep learning
by: Hiu, Theresa Wei Xin
Published: (2022) -
Diagnostic power of resting-state fMRI for detection of network connectivity in Alzheimer's disease and mild cognitive impairment: a systematic review
by: Ibrahim, Buhari, et al.
Published: (2021) -
Multiparametric MRI for the improved diagnostic accuracy of Alzheimer’s disease and mild cognitive impairment: research protocol of a case-control study design
by: Dayor Piersson, Albert, et al.
Published: (2021) -
Functional connectivity analysis on mild Alzheimer's disease, mild cognitive impairment and normal aging using fNIRS
by: Tang, Tong Boon, et al.
Published: (2018)