Unsupervised anomaly detection framework for pelvic and brain MRI reports AUC 0.97 and 0.81 on synthetic and clinical anomalies with spatial localization.
Data drift in medical machine learning: implications and potential remedies
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Catching MRI outliers: unsupervised detection and localization of MRI artefacts and clinical anomalies using deep learning
Unsupervised anomaly detection framework for pelvic and brain MRI reports AUC 0.97 and 0.81 on synthetic and clinical anomalies with spatial localization.