A Model for Diagnosing Autism Patients Using Spatial and Statistical Measures Using rs-fMRI and sMRI by Adopting Graphical Neural Networks
This article Supplies proposes a model to diagnose autism patients using graphical neural networks.A graphical neural network relates the subjects (nodes) using the features (edges).In our model, radiomic features obtained from sMRI are used as edges, and spatial-temporal data obtained through rs-fMRI are used as nodes.The similarity between first-