VGU RESEARCH REPOSITORY
Please use this identifier to cite or link to this item:
https://epub.vgu.edu.vn/handle/dlibvgu/1720
Title: | Graph neutral network for fMRI region of interest classtification | Authors: | Le Dinh Chuong | Keywords: | FMRI;Machine learning;Graph neutral network;Region of interest;Classification | Issue Date: | 2023 | Abstract: | During the process of fMRI data analysing, it often takes a lot of time and effort to label the region of interest, which are the parts of the brain that activate when the host executes some task. In this work, a solution to this problem is proposed that utilizes a powerful and newly emerged technology: graph neural network. The solution is an end-to-end pipeline, from transforming the fMRI data into graph to classifying the data into five categories: noise, default mode network, primary vision, auditory, and motor. The pipeline shows a great performance on the two selected datasets |
URI(1): | https://epub.vgu.edu.vn/handle/dlibvgu/1720 | Rights: | Attribution-NonCommercial 4.0 International |
Appears in Collections: | Computer Science (CS) |
Files in This Item:
File | Description | Size | Format | Existing users please Login |
---|---|---|---|---|
Graph neutral network for fMRI region of interest classtification.pdf | 2.95 MB | Adobe PDF |
Page view(s)
22
checked on May 29, 2024
Download(s)
9
checked on May 29, 2024
Google ScholarTM
Check
This item is licensed under a Creative Commons License