Investigating subtypes of alzheimer's disease using graph neural networks on functional MRI scans
While advances in Deep Learning have improved the state-of-the-art for classification of neurological disorders such as Alzheimer’s Disease (AD), their effectiveness is limited because they have failed to consider disease heterogeneity, an important characteristic of neurological disorders. Due to t...
Saved in:
Main Author: | Ang, Jun Liang |
---|---|
Other Authors: | Jagath C Rajapakse |
Format: | Final Year Project |
Language: | English |
Published: |
Nanyang Technological University
2021
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/148087 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Aids for people with Alzheimer's disease or other dementia I
by: Ang, Yu Kun
Published: (2013) -
Web application for ICH subtype classification from CT head scans
by: Lim, Candy
Published: (2022) -
Multi-modal graph neural network for early diagnosis of Alzheimer's disease from sMRI and PET scans
by: Zhang, Yanteng, et al.
Published: (2023) -
Skin disease diagnosis using deep neural network and large language model
by: Xia, Deneng
Published: (2023) -
Self-regulatory resource allocation network (SRAN) for Alzheimer detection
by: Tok, Tee Keong.
Published: (2012)