\begin{table}[htbp]
\centering
\caption{Results of 5 fold cross validation for the task NC vs MCI vs AD. Format: Mean (standard deviation), best result in bold. All the models are composed of a ResNet18 and the AM module specified in the first column.}
\label{Tab: NC_MCI_AD_results}
\setlength\tabcolsep{4.4pt} % make LaTeX figure out intercolumn spacing
\renewcommand{\arraystretch}{1.5}
\begin{tabular}{cccc}
\\
\toprule
%    \multirow{2}{*}{\textbf{Models}} & \multirow{2}{*}{\textbf{AM Location}} & \textbf{ACC} & \textbf{$F_1-score$}  \\
 %   &  & \% & \%  \\
    \textbf{Models} & \textbf{AM Location} & \textbf{ACC (\%)} & \textbf{$F_1$-score (\%)}  \\
 
    \midrule
      
    Standard ResNet18 & - & 87.1 (1.6) & 86.7 (1.8) \\ 
    
    CBAM & middle & 85.9 (1.6) & 85.3 (1.5) \\
    
    CBAM spatial module & middle & 86.9 (2.0) & 86.5 (2.1)  \\
    
    Residual attention & throughout & 85.5 (0.9) & 84.5 (3.8) \\
    
    \midrule
    
    Constant average map & middle & \textbf{87.4 (1.5)} & \textbf{86.9 (1.1)}\\
    
    ROI & start & 86.2 (1.4) & 85.9 (1.7)\\
    
    Deep multiscale network & start & 86.6 (2.3) & 86.3 (2.0) \\
    
    U-Net & middle & 86.0 (2.3) & 85.5 (2.1) \\
    
\bottomrule

\end{tabular}
\end{table}



