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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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| File | Description | Size | Format | Existing users please Login |
|---|---|---|---|---|
| Graph neutral network for fMRI region of interest classtification.pdf | 2.95 MB | Adobe PDF |
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