\begin{figure}[t]
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\floatconts
  {fig:overall_pipeline}
  {\caption{Overview of INFORM-CT pipeline. The framework consists of three components: (i) \textit{Dataset Processing} \& \textit{IF Label Extraction} (see ~\sectionref{sec:synthetic_correct_recommendations}): structured metadata is derived from radiology reports through LLM-based parsing, enabling the extraction of organ-specific incidental findings (IFs) labels; (ii) \textit{Guideline Parsing} \& \textit{Program Synthesis} (see ~\sectionref{sec:method}) medical guideline are parsed into decision-tree structures, which are combined with a set of predefined base functions to generate an executable inspection program via a planner–executor architecture; (iii) \textit{Program Execution}: The program operates on CT scans, invoking base functions to produce IF predictions. These predictions are evaluated against IFs labels to compute accuracy measures. }}
  {\includegraphics[width=1.0\linewidth]{figures/pipeline_overview.png}}
\end{figure}