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Text-guided 3D medical image segmentation just got a whole lot more practical: ESICA achieves state-of-the-art accuracy with a "Lite" variant that slashes parameter count without sacrificing performance.
Finally, a single 3D medical vision-language model that nails both high-level reasoning (report generation, VQA) and fine-grained segmentation from language, point, or box prompts.
