## 5 Results
### Ablation Study  
To validate the effectiveness of our designed MSFE module and DR reconstruction branch, we conducted a series of ablation experiments on the three datasets. The baseline was set as a U-shaped network with a four-layer structure. We compared our UNet-MSFE  
\begin{table}
\begin{tabular}{c c c c c c} \hline \hline
**Method** & **Year** & **Acc** & **AUC** & **Spe** & **Sen** \\ \hline [PERSON] [37] & 2017 & 0.9466 & 0.9703 & 0.9712 & 0.7861 \\ [PERSON] [38] & 2018 & 0.9556 & 0.9784 & 0.9813 & 0.7792 \\ [PERSON] [39] & 2018 & 0.9542 & 0.9752 & 0.9818 & 0.7653 \\ [PERSON] [40] & 2018 & 0.9576 & 0.9821 & 0.9804 & 0.8039 \\ [PERSON] [12] & 2019 & 0.9568 & 0.9806 & 0.9810 & 0.7921 \\ [PERSON] [35] & 2020 & 0.9581 & 0.9823 & 0.9813 & 0.7991 \\ [PERSON] [41] & 2020 & 0.9547 & 0.9739 & 0.9769 & 0.8026 \\ [PERSON] [42] & 2020 & 0.9565 & 0.9801 & 0.9782 & 0.8071 \\ [PERSON] [43] & 2022 & 0.9581 & 0.9836 & 0.9790 & 0.8170 \\ [PERSON] [44] & 2023 & 0.9664 & \(-\) & 0.9764 & 0.8164 \\ [PERSON] [45] & 2023 & 0.9572 & 0.9460 & 0.9783 & 0.7391 \\ [PERSON] [46] & 2023 & 0.9580 & 0.9820 & 0.9818 & 0.8139 \\ Proposed & 2023 & **0.9690** & **0.9858** & **0.9829** & **0.8230** \\ \hline \hline \end{tabular}
\end{table}
Table 1: Comparison results on the DRIVE dataset.  
\begin{table}
\begin{tabular}{c c c c c c} \hline \hline
**Method** & **Year** & **Acc** & **AUC** & **Spe** & **Sen** \\ \hline [PERSON] [37] & 2017 & 0.9502 & 0.9706 & 9716 & 0.7644 \\ [PERSON] [38] & 2018 & 0.9634 & 0.9815 & 0.9820 & 0.7756 \\ [PERSON] [39] & 2018 & 0.9610 & 0.9781 & 0.9809 & 0.7633 \\ [PERSON] [12] & 2019 & 0.9635 & 0.9810 & 0.9819 & 0.7818 \\ [PERSON] [35] & 2020 & 0.9670 & **0.9871** & 0.9813 & 0.8239 \\ [PERSON] [41] & 2020 & 0.9617 & 0.9782 & 0.9762 & 0.8135 \\ [PERSON] [42] & 2020 & 0.9706 & 0.9824 & 0.9836 & 0.8427 \\ [PERSON] [47] & 2021 & 0.9632 & 0.9827 & 0.9776 & 0.8176 \\ [PERSON] [36] & 2022 & 0.9561 & \(-\) & 0.9794 & 0.7816 \\ [PERSON] [44] & 2023 & 0.9664 & \(-\) & 0.9821 & 0.8284 \\ [PERSON] [45] & 2023 & 0.9672 & 0.9714 & 0.9733 & **0.8781** \\ [PERSON] [46] & 2023 & 0.9669 & 0.9867 & 0.9817 & 0.8194 \\ [PERSON] [48] & 2023 & 0.9710 & 0.9810 & 0.9830 & 0.7990 \\ Proposed & 2023 & **0.9757** & 0.9808 & **0.9858** & 0.8263 \\ \hline \hline \end{tabular}
\end{table}
Table 2: Comparison results on the CHASE_DB1 dataset.  
\begin{table}
\begin{tabular}{c c c c c c} \hline \hline
**Method** & **Year** & **Acc** & **AUC** & **Spe** & **Sen** \\ \hline [PERSON] [37] & 2017 & 0.9547 & 0.9740 & 0.9729 & 0.7882 \\ [PERSON] [39] & 2018 & 0.9612 & 0.9801 & 0.9846 & 0.7581 \\ [PERSON] [40] & 2018 & 0.9694 & **0.9905** & 0.9858 & 0.8315 \\ [PERSON] [12] & 2019 & 0.9678 & 0.9875 & 0.9823 & 0.8352 \\ [PERSON] [35] & 2020 & 0.9673 & 0.9881 & 0.9844 & 0.8186 \\ [PERSON] [41] & 2020 & 0.9593 & 0.9788 & 0.9784 & 0.8308 \\ [PERSON] [42] & 2020 & 0.9702 & 0.9825 & 0.9845 & 0.8432 \\ [PERSON] [47] & 2021 & 0.9626 & 0.9827 & 0.9821 & 0.7964 \\ [PERSON] [36] & 2022 & 0.9622 & \(-\) & 0.9848 & **0.8514** \\ [PERSON] [44] & 2023 & 0.9641 & \(-\) & 0.9836 & 0.7902 \\ [PERSON] [45] & 2023 & 0.9591 & 0.9726 & 0.9661 & 0.8743 \\ [PERSON] [46] & 2023 & 0.9712 & 0.9902 & 0.9779 & 0.7972 \\ [PERSON] [48] & 2023 & 0.9640 & 0.9780 & 0.9780 & 0.8190 \\ Proposed & 2023 & **0.9765** & 0.9811 & **0.9862** & 0.8296 \\ \hline \hline \end{tabular}
\end{table}
Table 3: Comparison results on the STARE dataset.  
DR approach with (1) the baseline, (2) the baseline with the MSFE, and (3) the baseline with DR. The statistical results of the experiments are presented in Tables 4-6.