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Abstract: Three-dimensional (3D) medical image segmentation typically demands extensive labeled training samples, which is prohibitively time-consuming and requires significant expertise. Although ...
Abstract: The Segment-Anything Model (SAM) shows exceptional zero-shot capabilities for 2D images. Developing a similar model for 3D, however, is challenging due to limited datasets. In this paper, we ...