| \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) & 0.9860 & 0.3462 & 0.9650 & 0.9997 & 0.5096 & 0.3419 & NaN & NaN \\ | |
| Three-class Classification (Processed) & 0.9946 & 0.6029 & 0.8342 & 0.9987 & 0.7000 & 0.5384 & NaN & NaN \\ | |
| \bottomrule | |
| \end{tabular} | |
| \end{table} | |