Introduces an attention-based prototype calibration framework for few-shot multi-rater medical image segmentation to model rater variability.
In: Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CV 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Attention-Based Prototype Calibration for Multi-Rater Few-Shot Medical Image Segmentation
Introduces an attention-based prototype calibration framework for few-shot multi-rater medical image segmentation to model rater variability.