\begin{table}[h]
    \centering
    \caption{\textbf{Pre-training Classification Performance.}
    Classification accuracy of each model on the original test set, rotated test set, and reflected test set on the NCT-CRC~\cite{Kather2019-xy} dataset.
    We highlight the best performance with bold.
    } % Add table caption here
    \label{tab:nct_comparison}


    \begin{tabular}{l ccc}
        \toprule
        \textbf{Model} & \textbf{Original} & \textbf{Rotated} & \textbf{Reflected} \\
        \midrule
        SRENet  & \textbf{95.5} & \textbf{94.8} & \textbf{95.5} \\
        E2CNN   & 93.8 & 92.5 & 93.9 \\
        ResNet  & 93.7 & 87.3 & 92.9 \\
        ViT     & 88.4 & 71.8 & 88.5 \\
        \bottomrule
    \end{tabular}
\end{table}


