
\begin{table}[htbp]
\centering
\caption{Quantitative results for different variants of our framework, with shared weights for encoder-decoder blocks of the target input and context set. }
\label{tab:camus_wnet}
\resizebox{0.9\columnwidth}{!}{%
\begin{tabular}{lccc}
\toprule
\textbf{Model / Dataset}  & Dice & IoU & Recall  \\
\midrule
\multicolumn{4}{c}{\textbf{CAMUS \cite{Leclerc.2019} Dataset}}\\
ICL-NoiseUNet (shared weights)  & 0.933 & 0.890 & 0.925 \\
ICL-UNet (shared weights - Noise Modulation Block)  & 0.903 & 0.822 & 0.842 \\
ICL-NoiseWNet (shared weights)  & \textbf{0.940} & \textbf{0.895} & \textbf{0.966} \\
ICL-WNet (shared weights - Noise Modulation Block)  & 0.936 & 0.891 & 0.960 \\
\multicolumn{4}{c}{\textbf{Thyroid-Magdeburg \cite{Wunderling2017} Dataset}}\\
ICL-NoiseUNet (shared weights)  & 0.774 & 0.686 & 0.736 \\
ICL-UNet (shared weights - Noise Modulation Block)  & 0.731 & 0.644 & 0.693 \\
ICL-NoiseWNet (shared weights)  & \textbf{0.785} & \textbf{0.701} & \textbf{0.806} \\
ICL-WNet (shared weights- Noise Modulation)  & 0.745 & 0.664 & 0.749 \\
\bottomrule
\end{tabular}
}
\end{table}
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