GM-ABS: SAM-Driven Active Barely Supervised 3D Medical Image Segmentation
Researchers from CUHK and Harvard Medical School built a training paradigm where the in-training specialist autonomously crafts prompts for a frozen SAM generalist, which returns noisy-but-useful labels across three orthogonal views — while active learning selects the most informative scans…
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