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Models/RRWNet

RRWNet

Reported on 9 benchmarks across 3 tasks · 1 paper · 9 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Medical6 results

Medical Image SegmentationonHRF
Accuracy· 2024-02-05
0.9783
SOTA
RRWNet: Recursive Refinement Network for effective retinal artery/vein segmentation and classification arXiv:2402.03166
Medical Image SegmentationonRITE/DRIVE
Accuracy· 2024-02-05
0.9666
SOTA
RRWNet: Recursive Refinement Network for effective retinal artery/vein segmentation and classification arXiv:2402.03166
Medical Image SegmentationonLES-AV
Accuracy· 2024-02-05
0.9481
SOTA
RRWNet: Recursive Refinement Network for effective retinal artery/vein segmentation and classification arXiv:2402.03166
Retinal Vessel SegmentationonHRF
Accuracy· 2024-02-05
0.9783
SOTA
RRWNet: Recursive Refinement Network for effective retinal artery/vein segmentation and classification arXiv:2402.03166
Retinal Vessel SegmentationonRITE/DRIVE
Accuracy· 2024-02-05
0.9666
SOTA
RRWNet: Recursive Refinement Network for effective retinal artery/vein segmentation and classification arXiv:2402.03166
Retinal Vessel SegmentationonLES-AV
Accuracy· 2024-02-05
0.9481
SOTA
RRWNet: Recursive Refinement Network for effective retinal artery/vein segmentation and classification arXiv:2402.03166

Methodology3 results

ClassificationonHRF
Accuracy· 2024-02-05
0.9783
SOTA
RRWNet: Recursive Refinement Network for effective retinal artery/vein segmentation and classification arXiv:2402.03166
ClassificationonRITE
Accuracy· 2024-02-05
0.9666
SOTA
RRWNet: Recursive Refinement Network for effective retinal artery/vein segmentation and classification arXiv:2402.03166
ClassificationonLES-AV
Accuracy· 2024-02-05
0.9481
SOTA
RRWNet: Recursive Refinement Network for effective retinal artery/vein segmentation and classification arXiv:2402.03166