Unsupervised anomaly detection in medical imaging using aggregated normative diffusion
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Early detection of anomalies in medical images such as brain magnetic resonance imaging (MRI) is highly relevant for diagnosis and treatment of many medical conditions. Supervised machine learning methods are limited to a small number of pathologies where ther... ...
