\fontsize{7}{8}\selectfont
	\centering
	\caption{ROC-AUC performance of \myalgoname\ in comparison with baselines that extract information of the disorder's anatomy from different sources. Best method, per task, is highlighted in bold. %
	}
	\label{tab:baselines}
	\begin{tabular}{c | c  c }
		\toprule
		\multirow{2}{*}{Baseline} & \multicolumn{2}{c}{Diagnosis Task} \\
		  & ACL tear & Meniscus tear \\
		\midrule
		slice-level pyramid & 0.969 \stddev{0.002} & 0.865 \stddev{0.005} \\
		\modulename\ on last layer & 0.971 \stddev{0.007} & 0.859 \stddev{0.009} \\
		\myalgoname & \tblbest{0.972} \stddev{0.006} & \tblbest{0.879} \stddev{0.010} \\

        \bottomrule
\end{tabular}
