Research Article
FFU-Net: Feature Fusion U-Net for Lesion Segmentation of Diabetic Retinopathy
Table 2
Ablation study of the proposed model against U-Net, U-Net V1, U-Net V2, and U-Net-FL on EX and SE.
| | | EX | | | SE | | Methods | SEN | IOU | DICE | SEN | IOU | DICE |
| FFU-Net | 0.8755 | 0.8414 | 0.9138 | 0.7933 | 0.7876 | 0.8812 | U-Net V2 | 0.8440 | 0.8159 | 0.8986 | 0.7547 | 0.7535 | 0.8594 | U-Net V1 | 0.8033 | 0.7867 | 0.8769 | 0.6934 | 0.7028 | 0.8191 | U-Net-FL | 0.7929 | 0.7763 | 0.8704 | 0.6801 | 0.6893 | 0.8099 | U-Net | 0.7819 | 0.7602 | 0.8638 | 0.6713 | 0.6707 | 0.8029 |
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