A Model for Diagnosing Autism Patients Using Spatial and Statistical Measures Using rs-fMRI and sMRI by Adopting Graphical Neural Networks

This article 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...

Descripción completa

Detalles Bibliográficos
Autores principales: Manikantan, Kiruthigha, Jaganathan, Suresh
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10047680/
https://www.ncbi.nlm.nih.gov/pubmed/36980452
http://dx.doi.org/10.3390/diagnostics13061143

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10047680/
https://www.ncbi.nlm.nih.gov/pubmed/36980452
http://dx.doi.org/10.3390/diagnostics13061143

Ejemplares similares