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I Detect What I Don't Know: Incremental Anomaly Learning with Stochastic Weight Averaging-Gaussian for Oracle-Free Medical Imaging

arXiv — cs.CV•Friday, November 7, 2025 at 5:00:00 AM
PositiveArtificial Intelligence

I Detect What I Don't Know: Incremental Anomaly Learning with Stochastic Weight Averaging-Gaussian for Oracle-Free Medical Imaging

A new approach to anomaly detection in medical imaging has been introduced, addressing the challenges posed by the lack of labeled anomalies and the need for expert supervision. This innovative, unsupervised framework allows for the incremental expansion of a trusted set of normal samples without requiring any anomaly labels. By starting with a small, verified set of normal images, the method effectively updates and admits samples based on uncertainty, making it a significant advancement in the field. This development is crucial as it could enhance the accuracy and efficiency of medical imaging diagnostics.
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