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Soonchunhyang University, Seoul National University, Kyungpook National University, Chung-Ang University, Samsung Changwon Hospital, NVIDIA AI Technology Center
NVIDIA Research2
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Video-level labels alone can reliably drive clinical video segmentation: coarse 3D-CAM cues paired with MedSAM2 achieve 94.5% recall and double small-polyp localization without a single manual frame annotation.
Policies trained on PRISM-generated datasets achieve unprecedented success rates in real-world tasks, outperforming traditional dataset methods by a wide margin.
