AI RESEARCH
Are General-Purpose Vision Models All We Need for 2D Medical Image Segmentation? A Cross-Dataset Empirical Study
arXiv CS.AI
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ArXi:2603.13044v1 Announce Type: cross Medical image segmentation (MIS) is a fundamental component of computer-assisted diagnosis and clinical decision systems. Over the past decade, numerous architectures specifically tailored to medical imaging have emerged to address domain-specific challenges such as low contrast, small anatomical structures, and limited annotated data. In parallel, rapid progress in computer vision has produced highly capable general-purpose vision models (GP-VMs) originally designed for natural images.