Tasks SotA Datasets Papers Methods Submit About

Papers With Code 2

A community resource for machine learning research: papers, code, benchmarks, and state-of-the-art results.

Explore

Notable Benchmarks All SotA Datasets Papers Methods

Community

Submit Results About

Data sourced from the PWC Archive (CC-BY-SA 4.0). Built by the community, for the community.

Models/RV-GAN

RV-GAN

Reported on 14 benchmarks across 2 tasks · 1 paper · 10 SOTA

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

Medical14 results

Medical Image SegmentationonCHASE_DB1
AUC· 2021-01-03
0.9914
best: 0.9937 (FSG-Net)
SOTA
RV-GAN: Segmenting Retinal Vascular Structure in Fundus Photographs using a Novel Multi-scale Generative Adversarial Network arXiv:2101.00535
Medical Image SegmentationonCHASE_DB1
F1 score· 2021-01-03
0.8957
SOTA
RV-GAN: Segmenting Retinal Vascular Structure in Fundus Photographs using a Novel Multi-scale Generative Adversarial Network arXiv:2101.00535
Medical Image SegmentationonCHASE_DB1
Sensitivity· 2021-01-03
0.8199
best: 0.8798 (FR-UNet)
SOTA
RV-GAN: Segmenting Retinal Vascular Structure in Fundus Photographs using a Novel Multi-scale Generative Adversarial Network arXiv:2101.00535
Medical Image SegmentationonCHASE_DB1
mIOU· 2021-01-03
0.9705
SOTA
RV-GAN: Segmenting Retinal Vascular Structure in Fundus Photographs using a Novel Multi-scale Generative Adversarial Network arXiv:2101.00535
Medical Image SegmentationonSTARE
mIOU· 2021-01-03
0.9754
SOTA
RV-GAN: Segmenting Retinal Vascular Structure in Fundus Photographs using a Novel Multi-scale Generative Adversarial Network arXiv:2101.00535
Retinal Vessel SegmentationonCHASE_DB1
AUC· 2021-01-03
0.9914
best: 0.9937 (FSG-Net)
SOTA
RV-GAN: Segmenting Retinal Vascular Structure in Fundus Photographs using a Novel Multi-scale Generative Adversarial Network arXiv:2101.00535
Retinal Vessel SegmentationonCHASE_DB1
F1 score· 2021-01-03
0.8957
SOTA
RV-GAN: Segmenting Retinal Vascular Structure in Fundus Photographs using a Novel Multi-scale Generative Adversarial Network arXiv:2101.00535
Retinal Vessel SegmentationonCHASE_DB1
Sensitivity· 2021-01-03
0.8199
best: 0.8798 (FR-UNet)
SOTA
RV-GAN: Segmenting Retinal Vascular Structure in Fundus Photographs using a Novel Multi-scale Generative Adversarial Network arXiv:2101.00535
Retinal Vessel SegmentationonCHASE_DB1
mIOU· 2021-01-03
0.9705
SOTA
RV-GAN: Segmenting Retinal Vascular Structure in Fundus Photographs using a Novel Multi-scale Generative Adversarial Network arXiv:2101.00535
Retinal Vessel SegmentationonSTARE
mIOU· 2021-01-03
0.9754
SOTA
RV-GAN: Segmenting Retinal Vascular Structure in Fundus Photographs using a Novel Multi-scale Generative Adversarial Network arXiv:2101.00535
Medical Image SegmentationonSTARE
AUC· 2021-01-03
0.9887
best: 0.9924 (DA-Net)
RV-GAN: Segmenting Retinal Vascular Structure in Fundus Photographs using a Novel Multi-scale Generative Adversarial Network arXiv:2101.00535
Medical Image SegmentationonSTARE
F1 score· 2021-01-03
0.8323
best: 0.8622 (DA-Net)
RV-GAN: Segmenting Retinal Vascular Structure in Fundus Photographs using a Novel Multi-scale Generative Adversarial Network arXiv:2101.00535
Retinal Vessel SegmentationonSTARE
AUC· 2021-01-03
0.9887
best: 0.9924 (DA-Net)
RV-GAN: Segmenting Retinal Vascular Structure in Fundus Photographs using a Novel Multi-scale Generative Adversarial Network arXiv:2101.00535
Retinal Vessel SegmentationonSTARE
F1 score· 2021-01-03
0.8323
best: 0.8622 (DA-Net)
RV-GAN: Segmenting Retinal Vascular Structure in Fundus Photographs using a Novel Multi-scale Generative Adversarial Network arXiv:2101.00535