\begin{table}[h]
\small
\caption{Multi-class classification results for different medical imaging datasets in terms of \textbf{Matthews correlation coefficient (MCC)}($\uparrow$).
Results for the glioma dataset are $\text{mean}_{\pm\text{std}}$.
}
\label{tab:results-multi-mcc}
\centering
\begin{tabular}{@{}llcccccc@{}}
    \toprule
    Dataset                   & Sampling     & CE                & CE + F1                    & CE + MCC          & F1                & Focal             & MCC               \\ \midrule
    \multirow{3}{*}{Glioma}   & Uniform      & $ 0.47_{\pm0.03}$ & $ 0.51_{\pm0.03}$          & $ 0.52_{\pm0.02}$ & $ 0.41_{\pm0.27}$ & $ 0.51_{\pm0.05}$ & $ 0.13_{\pm0.25}$ \\
                              & + Weights     & $ 0.52_{\pm0.03}$ & $ 0.52_{\pm0.02}$          & $ 0.54_{\pm0.05}$ & -                 & -                 & -                 \\
                              & Oversampling & $ 0.53_{\pm0.02}$ & $ \textbf{0.55}_{\pm0.01}$ & $ 0.50_{\pm0.04}$ & $ 0.54_{\pm0.02}$ & $ 0.52_{\pm0.05}$ & $ 0.56_{\pm0.03}$ \\ \midrule
    \multirow{3}{*}{Glaucoma} & Uniform      & 0.63              & 0.64                       & \textbf{0.65}     & 0.53              & 0.63              & 0.53              \\
                              & + Weights     & 0.62              & 0.64                       & 0.63              & -                 & -                 & -                 \\
                              & Oversampling & 0.61              & 0.64                       & 0.64              & 0.52              & 0.61              & 0.27              \\ \bottomrule
\end{tabular}
\end{table}