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What is Data Augmentation in MS Using GANs about?

The study presents a framework utilizing generative adversarial networks (GANs) to augment datasets of structural brain connectivity in multiple sclerosis (MS) patients, addressing the challenge of limited and imbalanced data in biomedical research. By generating synthetic brain networks from a dataset of 48 MS patients, the authors demonstrate that the augmented data improves classification performance significantly. This approach offers a novel tool for data augmentation in connectome-based studies, enhan

Author

mariaividal

Language

EN