Unsupervised anomaly detection in brain MRI via disentangled anatomy learning
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Detection of various lesions in brain MRI is clinically critical, but challenging due to the diversity of lesions and variability in imaging conditions. Current unsupervised learning methods detect anomalies mainly through reconstructing abnormal images into p... ...
