
The author argues that Test-Time Adaptation is crucial for addressing distribution shifts in medical image segmentation, proposing a Visual Prompt-based Test-Time Adaptation method to align statistics and prevent error accumulation and catastrophic forgetting.


coremsg

test-time-adaptation-for-2d-medical-image-segmentation


Test-Time Adaptation for 2D Medical Image Segmentation


title_rewrite


Generalized Diffusion Adaptation (GDA) is a novel diffusion-based test-time adaptation method that robustly adapts out-of-distribution (OOD) samples by incorporating structured guidance on style, content, and model output consistency.


generalized-diffusion-for-robust-test-time-adaptation-enhancing-out-of-distribution-robustness-through-structured-guidance


Generalized Diffusion for Robust Test-time Adaptation: Enhancing Out-of-Distribution Robustness through Structured Guidance
