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This document summarizes a study that used capsule networks (CapsNets) to improve diagnosis of autism spectrum disorder (ASD) and identify heterogeneous functional connectivity patterns. The study extracted functional connectivity features from fMRI data and built a CapsNet classifier. Unlike other methods, CapsNets have vectorized outputs that allow stratifying ASD patients into subgroups with distinct connectivity patterns. Evaluation on a large multi-site dataset showed the CapsNet achieved better diagno

Author

donishakumar15

Language

EN