Abstract: Labeling large amounts of medical data is travailing, leading to the blooming of few-shot medical image segmentation, which aims to segment the foreground of a query image given a labeled ...
OpenWorldSAM pushes the boundaries of SAM2 by enabling open-vocabulary segmentation with flexible language prompts. [2026-1-4]: Demo release: we’ve added simple demos to run OpenWorldSAM on images ...
Abstract: Medical image segmentation is an important component of medical image analysis, allowing precise delineation of regions of interest for accurate diagnosis and treatment planning. Deep ...
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