\begin{table}[H]
\centering
\caption{Cross-dataset results on fetal head and thyroid gland \cite{Wunderling2017} segmentation. NMB: noise modulation}
\label{tab:transfer_results}
\resizebox{0.5\columnwidth}{!}{%
\begin{tabular}{lccc}
\toprule
\textbf{Model / Setting}  & Dice & IoU  & Recall  \\
\midrule
\multicolumn{4}{c}{\textbf{JNU-IFM  $\rightarrow$ RADBOUD }}\\
ICL-NoiseUNet  & \textbf{0.901} & \textbf{0.887}  & \textbf{0.972} \\
ICL-NoiseUNet (-NMB)  & 0.881 & 0.842  & 0.951 \\
%ICL-NoiseUNet (context from JNU) & 0.893  & 0.879 & 0.964 \\
%\textcolor{red}{MixStyle} & \textcolor{red}{0.887} & \textcolor{red}{0.856}  & \textcolor{red}{0.943}
MixStyle \cite{mixstyle} & 0.911 & 0.899  & 0.907 \\
\midrule
\multicolumn{4}{c}{\textbf{Thyroid-Magdeburg $\rightarrow$ TG3K }}\\
ICL-NoiseUNet & \textbf{0.921} & \textbf{0.868}  & 0.919 \\
ICL-NoiseUNet (-NMB) & 0.870 & 0.811 & 0.900 \\
ICL-NoiseUNet (context from Thyroid) & 0.920  & 0.910 & \textbf{0.920} \\
%\textcolor{red}{MixStyle} & \textcolor{red}{0.911} & \textcolor{red}{0.899}  & \textcolor{red}{0.907}
MixStyle \cite{mixstyle} & 0.911 & 0.899  & 0.907 \\
%ICL-NoiseUNet (-nm,context from Thyroid)  & 0.880 & 0.820  &0.910 \\
\bottomrule
\end{tabular}
}
\end{table}
