CM-TTA adapts SAM3 for medical segmentation at test time via semantic consistency-based augmentation selection and dual long-short prompt memory for stable pseudo-label generation.
IET image processing16(5), 1243– 1267 (2022)
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Resilience is a perturbation-based uncertainty measure for NCA segmentation that outperforms baselines in identifying low-quality predictions on medical imaging benchmarks.
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Concept Alignment Contrast and Long-Short Prompt Memory for Test-Time Adaptation of SAM3 in Medical Image Segmentation
CM-TTA adapts SAM3 for medical segmentation at test time via semantic consistency-based augmentation selection and dual long-short prompt memory for stable pseudo-label generation.
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Measuring Prediction Uncertainty in Neural Cellular Automata
Resilience is a perturbation-based uncertainty measure for NCA segmentation that outperforms baselines in identifying low-quality predictions on medical imaging benchmarks.