Catching MRI outliers: unsupervised detection and localization of MRI artefacts and clinical anomalies using deep learning 事件

Catching MRI outliers: unsupervised detection and localization of MRI artefacts and clinical anomalies using deep learning arXiv:2605.24609v1 Announce Type: cross Abstract: Artificial intelligence is increasingly integrated into radiotherapy workflows, yet such pipelines remain vulnerable to out-of-distribution image data that may introduce unexpected behavior in clinical tasks. Deep learning-based anomaly detection for pelvic magnetic resonance imaging (MRI) remains largely unexplored, and tra