Abstract: Inspired by Active Learning and 2D-3D semantic fusion, we proposed a novel framework for 3D scene semantic segmentation based on rendered 2D images, which could efficiently achieve semantic ...
Abstract: Segment Anything Models (SAMs) have gained sig-nificant attention for their impressive zero-shot generalization capabilities. However, to effectively apply SAMs to 3D medical image ...
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