In this study, a Generative Adversarial Network is used for detection of abnormalities in MR brain images such as lesions, artifacts etc. Given a query image, a generative model that is trained to create normal appearing brain images is used to find a best match. Since abnormalities cannot be reproduced accurately by the generative model, pathologies and artifacts become apparent.
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