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Affiliation:, Fraunhofer Institute for Digital Medicine MEVIS
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Achieving top-tier medical image analysis performance with less than 2.5% of the parameters required for full fine-tuning could revolutionize accessibility in healthcare AI.
Medium-far and far-OOD samples can be detected reliably, but near-OOD anomalies expose critical method-specific vulnerabilities that challenge current practices in medical AI.
