\begin{figure}[H]
    \centering
    \begin{tabular}{l}
    \makebox[1\linewidth]{\small
          Ground Truth \;\; Full Design \;\;  Only Context \;  Only Variance \; Only Residual \;\; No NMB-CC
        } \\[2pt]
  \includegraphics[scale=0.33]{images/ablation_BUSBRA/input_batch_000.png} \\[0pt]
         \includegraphics[scale=0.33]{images/ablation_BUSBRA/input_batch_085.png} \\[0pt]
         \includegraphics[scale=0.33]{images/ablation_BUSBRA/input_batch_008.png} \\[0pt]
        \includegraphics[scale=0.33]{images/ablation_BUSBRA/input_batch_014.png} \\[0pt]
         \includegraphics[scale=0.33]{images/ablation_BUSBRA/input_batch_141.png} \\[0pt]
      \includegraphics[scale=0.33]{images/ablation_BUSBRA/input_batch_144.png} \\[0pt]
        \includegraphics[scale=0.33]{images/ablation_BUSBRA/input_batch_059.png} \\[0pt]
        %\includegraphics[scale=0.33]{images/imgs_BUSI-SAM2/batch_070.png} \\[0pt]
         \includegraphics[scale=0.33]{images/ablation_BUSBRA/input_batch_030.png} \\[0pt]
        \end{tabular}
    \caption{Segmentation results comparison between variations of our approach for BUS-BRA \cite{WilfridoGomezFlores.2023} dataset. For clearer visualization, images are cropped around the region of interest. \textcolor{green!60!white}{\rule{6pt}{6pt}} indicates false positives, and \textcolor{red}{\rule{6pt}{6pt}} indicates false negatives. Abbreviations: noise modulation block (NMB), context conditioning (CC) }
    \label{fig:ablation_busbra}
\end{figure}
