HPR-SAM replaces manual prompts in SAM with hierarchical probabilistic anatomical representations, achieving state-of-the-art medical image segmentation on Synapse, LA, and PROMISE12 datasets.
Pg-sam: A fine-grained prior-guided sam framework for prompt-free medical image segmentation,
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VCDP improves semi-supervised 3D medical image segmentation by attaching a training-only module that models each organ class as a Gaussian proxy with multiple variation prototypes to regularize feature spaces.
citing papers explorer
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HPR-SAM: Hierarchical Probabilistic Representation Learning for Prompt-free SAM-based Medical Image Segmentation
HPR-SAM replaces manual prompts in SAM with hierarchical probabilistic anatomical representations, achieving state-of-the-art medical image segmentation on Synapse, LA, and PROMISE12 datasets.
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VCDP: Variation-Conditioned Distributional Proxy Learning for Semi-Supervised Medical Image Segmentation
VCDP improves semi-supervised 3D medical image segmentation by attaching a training-only module that models each organ class as a Gaussian proxy with multiple variation prototypes to regularize feature spaces.