| \begin{table} | |
| \caption{Performance comparison between binary and three-class segmentation approaches} | |
| \label{tab:performance_comparison} | |
| \begin{tabular}{lllllllll} | |
| \toprule | |
| Scenario & Accuracy & Precision & Recall & Specificity & Dice & IoU & HD95 & ASSD \\ | |
| \midrule | |
| Binary Classification (Processed) & 0.9852 & 0.3340 & 0.9682 & 0.9998 & 0.4967 & 0.3304 & NaN & NaN \\ | |
| Three-class Classification (Processed) & 0.9965 & 0.7589 & 0.7765 & 0.9983 & 0.7676 & 0.6228 & NaN & NaN \\ | |
| \bottomrule | |
| \end{tabular} | |
| \end{table} | |