A multi-atlas ensemble learning framework for autism spectrum disorder diagnosis.
OBJECTIVE Clinical autism spectrum disorder (ASD) relies on subjective scales and neuroimaging, with traditional approaches suffering from high subjectivity and insufficient feature extraction, increasing misdiagnoses risk. APPROACH To improve the diagnostic accuracy, we propose a multimodal ASD prediction network (A...