SGP-Net improves few-shot medical image segmentation by using spectral frequency decomposition for cue disentanglement and geodesic matching on feature manifolds instead of cosine similarity.
Cross-hierarchical decoding with sam for semi-supervised medical image segmentation,
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Beyond Euclidean Prototypes: Spectral Disentanglement and Geodesic Matching for Few-Shot Medical Image Segmentation
SGP-Net improves few-shot medical image segmentation by using spectral frequency decomposition for cue disentanglement and geodesic matching on feature manifolds instead of cosine similarity.