# Taurus: LLM-in-the-Loop CT Annotation Matches Coding Agents at Half the Cost

> 全文为英语

**Published:** 2026年11月3日
**Author:** Bing Hu, Rishabh Sharma, Jatin Mehta
**Source:** arXiv — cs.AI
**Language:** en-US
**HTML:** https://aiqazaqstan.com/zh/articles/taurus-llm-in-the-loop-ct-annotation-matches-coding-agents-at-half-the-c

arXiv:2611.00247v1 Announce Type: new Abstract: Dense labels of the aorta in CT are slow to draw, and the public aortic CT datasets that could stand in for them each label different structures under their own conventions. Large language model (LLM) agents can now write code and…

> 内容来自原始来源： **arXiv — cs.AI**
> [在 arXiv — cs.AI 阅读全文](https://arxiv.org/abs/2611.00247)

**标签：** #Anthropic #arXiv

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