A Benchmark of Preprocessing Strategies for Autism Classification from Resting-State Functional Magnetic Resonance Imaging
2021 XXIII Symposium on Image, Signal Processing and Artificial Vision (STSIVA)(2021)
摘要
Currently, the diagnosis of autism spectrum disorder (ASD) is a subjective behaviorally-based process, which requires one or more professionals. In recent years, strategies based on the automated analysis of resting-state functional magnetic resonance imaging (rs-fMRI) have become a promising candidate that could reduce subjectivity in ASD diagnosis. Unfortunately, the outcome of computerized rs-f...
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关键词
ASD,rs-fMRI,machine learning,preprocessing
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