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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)

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