\begin{table}[t]
\fontsize{7}{8}\selectfont
	\centering
	\caption{[kneeMRI Dataset] Performance of baseline methodologies without and with \myalgoname. Best setup, per method, is highlighted in bold.}
	\label{tab:kneemrisota}
	\begin{tabular}{c | c | c c | c c}
		\toprule
		\multirow{2}{*}{Diagnosis Task} & \multirow{2}{*}{Metric} & \multicolumn{4}{c}{Architecture} \\
		 & & MRNet & with \myalgoname & ELNet & with \myalgoname \\
		\midrule
		 \multirow{4}{*}{ACL tear} & ROC-AUC & 0.902 \stddev{0.005} & \tblbest{0.914} \stddev{0.004} & 0.873 \stddev{0.020} & \tblbest{0.900} \stddev{0.016} \\
        	                    & Accuracy & \tblbest{0.847} \stddev{0.002} & 0.834 \stddev{0.009} & 0.836 \stddev{0.025} &  \tblbest{0.851} \stddev{0.028}\\
    	                        & Sensitivity & 0.692 \stddev{0.047} & \tblbest{0.806} \stddev{0.008} & 0.582 \stddev{0.099} & \tblbest{0.679} \stddev{0.089} \\
    	                        & Specificity & \tblbest{0.898} \stddev{0.015} & 0.843 \stddev{0.013} & \tblbest{0.919} \stddev{0.065} & 0.908 \stddev{0.065}\\
        \bottomrule
\end{tabular}
\end{table}