| \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) & 0.9751 & 0.2306 & 0.9838 & 0.9999 & 0.3736 & 0.2297 & NaN & NaN \\ | |
| Three-class Classification (Processed) & 0.9915 & 0.4637 & 0.7961 & 0.9984 & 0.5861 & 0.4145 & NaN & NaN \\ | |
| \bottomrule | |
| \end{tabular} | |
| \end{table} | |