DML‐GNN: ASD Diagnosis Based on Dual‐Atlas Multi‐Feature Learning Graph Neural Network

• Published in: International journal of imaging systems and technology Vol. 35; no. 2
• Main Authors: Liu, Shuaiqi, Sun, Chaolei, Li, Jinkai, Wang, Shuihua, Zhao, Ling
• Format: Journal Article
• Language: English
• Published: Hoboken, USA John Wiley & Sons, Inc 01.03.2025; Wiley Subscription Services, Inc
• Subjects: Algorithms; Autism; autism spectrum disorder; Brain; Data exchange; Diagnosis; Feature extraction; fMRI; Graph neural networks; graph pooling; Isomorphism; Machine learning; Medical imaging; Modal data; Modules; multimodal data; Neural networks

ABSTRACT To better automate the diagnosis of autism spectrum disorder (ASD) and improve diagnostic accuracy, a graph neural network via dual‐atlas multi‐feature learning (DML‐GNN) model for ASD diagnosis is constructed based on the local feature information of brain atlas and the global feature info...