Bercea, Cosmin I.

Selective Test-Time Adaptation for Unsupervised Anomaly Detection using Neural Implicit Representations

2024 · arXiv (Cornell University)

Deep learning models in medical imaging often encounter challenges when adapting to new clinical settings unseen during training. Test-time adaptation offers a promising approach to optimize models for these unseen domains, yet its application in …