Artery/vein segmentation on Doppler Holography Retinal Dataset temporal cues Sequential Pipeline
87.4SensitivityUNet++
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| UNet++Year=2018, Params (K)=9,156, Inf. (ms)=222025.11 | 87.4 | 84.3 | 92.7 | 5.99 | |
| CE-NetYear=2019, Params (K)=68,801, Inf. (ms)=122025.11 | 84.9 | 84.5 | 92.4 | 7.17 | |
| WNetYear=2025, Params (K)=7,034, Inf. (ms)=182025.11 | 84.2 | 84 | 92.3 | 5.98 | |
| UNetYear=2015, Params (K)=17,258, Inf. (ms)=162025.11 | 83.2 | 82.6 | 90.8 | 8.99 | |
| CSTA-NetYear=2025, Params (K)=21,947, Inf. (ms)=312025.11 | 83.1 | 84.4 | 91.9 | 5.61 | |
| RRWNetYear=2024, Params (K)=62,063, Inf. (ms)=1322025.11 | 81.9 | 81.9 | 89.9 | 9.54 | |
| MSUNetYear=2021, Params (K)=47,076, Inf. (ms)=282025.11 | 80 | 81.7 | 89.6 | 10.95 | |
| WNet (Tiny)Year=2025, Params (K)=69, Inf. (ms)=62025.11 | 79.7 | 81.1 | 88.6 | 10.17 | |
| IterNetYear=2020, Params (K)=17,476, Inf. (ms)=42025.11 | 78.3 | 79.8 | 87.7 | 16.53 | |
| SwinUNetYear=2022, Params (K)=43,077, Inf. (ms)=302025.11 | 66 | 72.2 | 77.5 | 23.33 |