Modular Agent Outperforms End-to-End VLMs in CT Spatial Reasoning
Simon Vincent Abel · hf · 2026-08-27
Presents a modular medical imaging agent for verifying spatial relations in CT scans. By decomposing the task into parsing, anatomical localization, and geometric rules, this approach outperforms end-to-end vision-language models on CT spatial reasoning benchmarks, offering improved reliability and auditability.
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