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Open access Oct 2026

DAPNet: a decoupled adaptive prototyping network for few-shot medical image segmentation.

Few-shot medical image segmentation (FSMIS) holds immense potential in medical scenarios where annotations are expensive and scarce. However, the majority of existing methods perform queries under the guidance of a foreground prototype, which causes them to struggle, as this single representation fails to effectively m...

Tao Wang, Xiang Li, Jin-Yu Cong et al. · 0 citations
Sep 2026

YOLO-PRA: a multi-scale feature fusion and adaptive optimization network for underwater seahorse health detection

Curled-tail posture is an important visual cue for identifying seahorses affected by bacterial enteritis from underwater images in seahorse aquaculture. Therefore, accurate recognition of tail posture is essential for underwater seahorse health detection. However, research on this task is limited by the lack of task-sp...

Bo-Wen Ma, Yang Li, Xian-Jun Fu et al. · 0 citations

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