Proposes selective inference for statistically valid testing of anomaly detection methods using generative AI for Alzheimers disease medical imaging. Demonstrates control of false discovery rate and strong power where classical tests can mislead.
Proposes selective inference for statistically valid testing of anomaly detection methods using generative AI for Alzheimers disease medical imaging. Demonstrates control of false discovery rate and strong power where classical tests can mislead.