Out-of-Distribution Detection and Radiological Data Monitoring Using Statistical Process Control
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Machine learning (ML) models often fail with data that deviates from their training distribution. This is a significant concern for ML-enabled devices as data drift may lead to unexpected performance. This work introduces a new framework for out of distributio... ...
