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Radiomics vs Deep Learning in Autism Classification Using Brain MRI: A Systematic Review

2025-09-10

Abstract excerpt

Autism diagnosis through magnetic resonance imaging (MRI) has advanced significantly with the application of artificial intelligence (AI). This systematic review examines three computational paradigms: radiomics-based machine learning (ML), deep learning (DL) and hybrid models combining both. Across 49 studies (2011-2025), radiomics methods relying on classical classifiers (i.e. SVM, Random Forest), achieved moder...

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Literature Corpus work
f06d96a8-e13c-5a29-a292-0302fb23f040
DOI
10.20944/preprints202509.0816.v1
Open publication

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Radiomics vs Deep Learning in Autism Classification Using Brain MRI: A Systematic ReviewDOI 10.20944/preprints202509.0816.v1
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