Article

AI-Generated Data Improves Multiple Sclerosis Classification in a Basal Ganglia Radiomics Model

2025-06-18

Abstract excerpt

<title>Abstract</title> <p> <bold>Background:</bold> The heterogeneity and limited availability of magnetic resonance imaging (MRI) datasets in multiple sclerosis (MS) restrict the robustness of quantitative analysis methods like radiomics. This study explores the use of Generative Adversarial Networks (GANs) as a data harmonization technique. This study assesses whether GAN-generated images are realistic enoug...

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Literature Corpus work: 1c9f2395-ae5d-570d-80b2-46f544603f62
DOI: 10.21203/rs.3.rs-6798846/v1

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