Applications of Generative Adversarial Networks in Neuroimaging and Clinical Neuroscience
Applications of Generative Adversarial Networks in Neuroimaging and Clinical Neuroscience
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Ithaca: Cornell University Library, arXiv.org
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English
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Ithaca: Cornell University Library, arXiv.org
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Contents
Generative adversarial networks (GANs) are one powerful type of deep learning models that have been successfully utilized in numerous fields. They belong to a broader family called generative methods, which generate new data with a probabilistic model by learning sample distribution from real examples. In the clinical context, GANs have shown enhan...
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Applications of Generative Adversarial Networks in Neuroimaging and Clinical Neuroscience
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TN_cdi_proquest_journals_2677226612
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2677226612
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E-ISSN
2331-8422
DOI
10.48550/arxiv.2206.07081
