FIELD NOTES TOPIC

quality assurance

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  1. Unsupervised Anomaly Detection for Image Dataset Quality Assurance in Multi-Center Breast MRI

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    Researchers propose an automated dataset quality assurance mechanism using unsupervised anomaly detection and out-of-distribution detection for multi-center dynamic contrast-enhanced breast MRI. The study compares four…