Multi-Class ASD Classification via Label Distribution Learning with Class-Shared and Class-Specific Decomposition

• Published in: Medical image analysis Vol. 75; p. 102294
• Main Authors: Wang, Jun, Zhang, Fengyexin, Jia, Xiuyi, Wang, Xin, Zhang, Han, Ying, Shihui, Wang, Qian, Shi, Jun, Shen, Dinggang
• Format: Journal Article
• Language: English
• Published: Netherlands Elsevier B.V 01.01.2022; Elsevier BV
• Subjects: Algorithms; Autism; Autism spectrum disorder; Autism Spectrum Disorder - diagnostic imaging; Brain; Brain - diagnostic imaging; Brain mapping; Classification; Cognitive ability; Decomposition; Diagnosis; Functional magnetic resonance imaging; Humans; imbalanced data; label distribution learning; Learning; Low density lipoprotein; Magnetic Resonance Imaging; multi-class ASD classification; Neuroimaging; Signs and symptoms; multi-class ASD classification; imbalanced data; label distribution learning; Autism spectrum disorder

The behavioral and cognitive deficits in autism spectrum disorder (ASD) patients are associated with abnormal brain function. The resting-state functional magnetic resonance imaging (rs-fMRI) is an effective non-invasive tool for revealing the brain dysfunction for ASD patients. However, most rs-fMR...