task_path stringlengths 3 199 ⌀ | dataset stringlengths 1 128 ⌀ | model_name stringlengths 1 223 ⌀ | paper_url stringlengths 21 601 ⌀ | metric_name stringlengths 1 50 ⌀ | metric_value stringlengths 1 9.22k ⌀ |
|---|---|---|---|---|---|
Medical Image Segmentation > Retinal Vessel Segmentation | CHASE_DB1 | LadderNet | https://arxiv.org/abs/1810.07810v4 | AUC | 0.9839 |
Medical Image Segmentation > Retinal Vessel Segmentation | CHASE_DB1 | VGN | http://arxiv.org/abs/1806.02279v1 | F1 score | 0.8034 |
Medical Image Segmentation > Retinal Vessel Segmentation | CHASE_DB1 | VGN | http://arxiv.org/abs/1806.02279v1 | AUC | 0.9830 |
Medical Image Segmentation > Retinal Vessel Segmentation | CHASE_DB1 | DEFFA-Unet | https://arxiv.org/abs/2506.02312v1 | AUC | 0.9823 |
Medical Image Segmentation > Retinal Vessel Segmentation | CHASE_DB1 | DEFFA-Unet | https://arxiv.org/abs/2506.02312v1 | MCC | 0.7892 |
Medical Image Segmentation > Retinal Vessel Segmentation | CHASE_DB1 | DEFFA-Unet | https://arxiv.org/abs/2506.02312v1 | 1:1 Accuracy | 0.9712 |
Medical Image Segmentation > Retinal Vessel Segmentation | CHASE_DB1 | DEFFA-Unet | https://arxiv.org/abs/2506.02312v1 | DSC | 0.8156 |
Medical Image Segmentation > Retinal Vessel Segmentation | CHASE_DB1 | DEFFA-Unet | https://arxiv.org/abs/2506.02312v1 | Average IOU | 0.6891 |
Medical Image Segmentation > Retinal Vessel Segmentation | CHASE_DB1 | R2U-Net | http://arxiv.org/abs/1802.06955v5 | F1 score | 0.7928 |
Medical Image Segmentation > Retinal Vessel Segmentation | CHASE_DB1 | R2U-Net | http://arxiv.org/abs/1802.06955v5 | AUC | 0.9815 |
Medical Image Segmentation > Retinal Vessel Segmentation | CHASE_DB1 | DUNet | http://arxiv.org/abs/1811.01206v1 | F1 score | 0.7883 |
Medical Image Segmentation > Retinal Vessel Segmentation | CHASE_DB1 | DUNet | http://arxiv.org/abs/1811.01206v1 | AUC | 0.9804 |
Medical Image Segmentation > Retinal Vessel Segmentation | CHASE_DB1 | Residual U-Net | http://arxiv.org/abs/1711.10684v1 | F1 score | 0.7800 |
Medical Image Segmentation > Retinal Vessel Segmentation | CHASE_DB1 | Residual U-Net | http://arxiv.org/abs/1711.10684v1 | AUC | 0.9779 |
Medical Image Segmentation > Retinal Vessel Segmentation | CHASE_DB1 | U-Net | http://arxiv.org/abs/1505.04597v1 | AUC | 0.9772 |
Medical Image Segmentation > Retinal Vessel Segmentation | CHASE_DB1 | MERIT-GCASCADE | https://arxiv.org/abs/2310.16175v1 | F1 score | 0.8267 |
Medical Image Segmentation > Retinal Vessel Segmentation | CHASE_DB1 | MERIT-GCASCADE | https://arxiv.org/abs/2310.16175v1 | mIOU | 0.7050 |
Medical Image Segmentation > Retinal Vessel Segmentation | CHASE_DB1 | MERIT-GCASCADE | https://arxiv.org/abs/2310.16175v1 | Sensitivity | 0.8493 |
Medical Image Segmentation > Retinal Vessel Segmentation | CHASE_DB1 | PVT-GCASCADE | https://arxiv.org/abs/2310.16175v1 | F1 score | 0.8251 |
Medical Image Segmentation > Retinal Vessel Segmentation | CHASE_DB1 | PVT-GCASCADE | https://arxiv.org/abs/2310.16175v1 | mIOU | 0.7024 |
Medical Image Segmentation > Retinal Vessel Segmentation | CHASE_DB1 | PVT-GCASCADE | https://arxiv.org/abs/2310.16175v1 | Sensitivity | 0.8584 |
Medical Image Segmentation > Retinal Vessel Segmentation | CHASE_DB1 | U-Net ASPP | https://arxiv.org/abs/2307.14179v1 | mIOU | 0.8959 |
Medical Image Segmentation > Retinal Vessel Segmentation | UZLF | LUNet | https://arxiv.org/abs/2309.05780v1 | Average Dice (0.5*Dice_a + 0.5*Dice_v) | 83.2 |
Medical Image Segmentation > Retinal Vessel Segmentation | UZLF | Junior Ophtalmologist | https://arxiv.org/abs/2309.05780v1 | Average Dice (0.5*Dice_a + 0.5*Dice_v) | 82.6 |
Medical Image Segmentation > Retinal Vessel Segmentation | UZLF | VascX | https://arxiv.org/abs/2409.16016v2 | Average Dice (0.5*Dice_a + 0.5*Dice_v) | 80.6 |
Medical Image Segmentation > Retinal Vessel Segmentation | UZLF | Automorph | https://arxiv.org/abs/2409.16016v2 | Average Dice (0.5*Dice_a + 0.5*Dice_v) | 74.0 |
Medical Image Segmentation > Retinal Vessel Segmentation | UZLF | Little W-Net | https://arxiv.org/abs/2409.16016v2 | Average Dice (0.5*Dice_a + 0.5*Dice_v) | 60.9 |
Medical Image Segmentation > Retinal Vessel Segmentation | ROSE-1 SVC-DVC | OCTAve: OCTA-Net | https://arxiv.org/abs/2207.12238v1 | Dice Score | 81.42 |
Medical Image Segmentation > Retinal Vessel Segmentation | ROSE-1 SVC-DVC | OCTA-Net | https://arxiv.org/abs/2007.05201v2 | Dice Score | 75.76 |
Medical Image Segmentation > Retinal Vessel Segmentation | ROSE-1 SVC-DVC | ResU-Net | http://arxiv.org/abs/1711.10684v1 | Dice Score | 74.61 |
Medical Image Segmentation > Retinal Vessel Segmentation | ROSE-1 SVC-DVC | CE-Net | http://arxiv.org/abs/1903.02740v1 | Dice Score | 73.00 |
Medical Image Segmentation > Retinal Vessel Segmentation | ROSE-1 SVC-DVC | U-Net | http://arxiv.org/abs/1505.04597v1 | Dice Score | 70.12 |
Medical Image Segmentation > Retinal Vessel Segmentation | ROSE-1 SVC | OCTAve: OCTA-Net | https://arxiv.org/abs/2207.12238v1 | Dice Score | 78.03 |
Medical Image Segmentation > Retinal Vessel Segmentation | ROSE-1 SVC | OCTA-Net | https://arxiv.org/abs/2007.05201v2 | Dice Score | 76.97 |
Medical Image Segmentation > Retinal Vessel Segmentation | ROSE-1 SVC | CE-Net | http://arxiv.org/abs/1903.02740v1 | Dice Score | 75.11 |
Medical Image Segmentation > Retinal Vessel Segmentation | ROSE-1 SVC | ResU-Net | http://arxiv.org/abs/1711.10684v1 | Dice Score | 74.61 |
Medical Image Segmentation > Retinal Vessel Segmentation | ROSE-1 SVC | U-Net | http://arxiv.org/abs/1505.04597v1 | Dice Score | 71.16 |
Medical Image Segmentation > Retinal Vessel Segmentation | STARE | DA-Net | null | F1 score | 0.8622 |
Medical Image Segmentation > Retinal Vessel Segmentation | STARE | DA-Net | null | AUC | 0.9924 |
Medical Image Segmentation > Retinal Vessel Segmentation | STARE | DA-Net | null | Sensitivity | 0.8762 |
Medical Image Segmentation > Retinal Vessel Segmentation | STARE | DA-Net | null | Acc | 0.9786 |
Medical Image Segmentation > Retinal Vessel Segmentation | STARE | R2U-Net | http://arxiv.org/abs/1802.06955v5 | F1 score | 0.8475 |
Medical Image Segmentation > Retinal Vessel Segmentation | STARE | R2U-Net | http://arxiv.org/abs/1802.06955v5 | AUC | 0.9914 |
Medical Image Segmentation > Retinal Vessel Segmentation | STARE | FSG-Net | https://arxiv.org/abs/2501.18921v1 | F1 score | 0.8510 |
Medical Image Segmentation > Retinal Vessel Segmentation | STARE | FSG-Net | https://arxiv.org/abs/2501.18921v1 | AUC | 0.9896 |
Medical Image Segmentation > Retinal Vessel Segmentation | STARE | FSG-Net | https://arxiv.org/abs/2501.18921v1 | mIOU | 0.8611 |
Medical Image Segmentation > Retinal Vessel Segmentation | STARE | FSG-Net | https://arxiv.org/abs/2501.18921v1 | Sensitivity | 0.8660 |
Medical Image Segmentation > Retinal Vessel Segmentation | STARE | FSG-Net | https://arxiv.org/abs/2501.18921v1 | Acc | 0.9774 |
Medical Image Segmentation > Retinal Vessel Segmentation | STARE | FSG-Net | https://arxiv.org/abs/2501.18921v1 | MCC | 0.8395 |
Medical Image Segmentation > Retinal Vessel Segmentation | STARE | RV-GAN | https://arxiv.org/abs/2101.00535v2 | F1 score | 0.8323 |
Medical Image Segmentation > Retinal Vessel Segmentation | STARE | RV-GAN | https://arxiv.org/abs/2101.00535v2 | AUC | 0.9887 |
Medical Image Segmentation > Retinal Vessel Segmentation | STARE | RV-GAN | https://arxiv.org/abs/2101.00535v2 | mIOU | 0.9754 |
Medical Image Segmentation > Retinal Vessel Segmentation | STARE | VGN | http://arxiv.org/abs/1806.02279v1 | F1 score | 0.8429 |
Medical Image Segmentation > Retinal Vessel Segmentation | STARE | VGN | http://arxiv.org/abs/1806.02279v1 | AUC | 0.9877 |
Medical Image Segmentation > Retinal Vessel Segmentation | STARE | DEFFA-Unet | https://arxiv.org/abs/2506.02312v1 | AUC | 0.9834 |
Medical Image Segmentation > Retinal Vessel Segmentation | STARE | DEFFA-Unet | https://arxiv.org/abs/2506.02312v1 | MCC | 0.7945 |
Medical Image Segmentation > Retinal Vessel Segmentation | STARE | DEFFA-Unet | https://arxiv.org/abs/2506.02312v1 | 1:1 Accuracy | 0.9689 |
Medical Image Segmentation > Retinal Vessel Segmentation | STARE | DEFFA-Unet | https://arxiv.org/abs/2506.02312v1 | DSC | 0.8234 |
Medical Image Segmentation > Retinal Vessel Segmentation | STARE | DEFFA-Unet | https://arxiv.org/abs/2506.02312v1 | Average IOU | 0.7012 |
Medical Image Segmentation > Retinal Vessel Segmentation | STARE | DUNet | http://arxiv.org/abs/1811.01206v1 | F1 score | 0.8143 |
Medical Image Segmentation > Retinal Vessel Segmentation | STARE | DUNet | http://arxiv.org/abs/1811.01206v1 | AUC | 0.9832 |
Medical Image Segmentation > Retinal Vessel Segmentation | STARE | U-Net | http://arxiv.org/abs/1505.04597v1 | F1 score | 0.8373 |
Medical Image Segmentation > Retinal Vessel Segmentation | STARE | U-Net | http://arxiv.org/abs/1505.04597v1 | AUC | 0.7783 |
Medical Image Segmentation > Retinal Vessel Segmentation | STARE | Residual U-Net | http://arxiv.org/abs/1711.10684v1 | F1 score | 0.8388 |
Medical Image Segmentation > Retinal Vessel Segmentation | STARE | U-Net ASPP | https://arxiv.org/abs/2307.14179v1 | mIOU | 0.9001 |
Medical Image Segmentation > Retinal Vessel Segmentation | ROSE-1 DVC | OCTA-Net | https://arxiv.org/abs/2007.05201v2 | Dice Score | 70.74 |
Medical Image Segmentation > Retinal Vessel Segmentation | ROSE-1 DVC | U-Net | http://arxiv.org/abs/1505.04597v1 | Dice Score | 66.05 |
Medical Image Segmentation > Retinal Vessel Segmentation | ROSE-1 DVC | ResU-Net | http://arxiv.org/abs/1711.10684v1 | Dice Score | 65.67 |
Medical Image Segmentation > Retinal Vessel Segmentation | ROSE-1 DVC | OCTAve: OCTA-Net | https://arxiv.org/abs/2207.12238v1 | Dice Score | 62.55 |
Medical Image Segmentation > Retinal Vessel Segmentation | ROSE-1 DVC | CE-Net | http://arxiv.org/abs/1903.02740v1 | Dice Score | 57.83 |
Medical Image Segmentation > Retinal Vessel Segmentation | DRIVE | Swin-Res-Net | https://arxiv.org/abs/2403.01362v1 | AUC | 0.9931 |
Medical Image Segmentation > Retinal Vessel Segmentation | DRIVE | FR-UNet | https://ieeexplore.ieee.org/abstract/document/9815506 | F1 score | 0.8316 |
Medical Image Segmentation > Retinal Vessel Segmentation | DRIVE | FR-UNet | https://ieeexplore.ieee.org/abstract/document/9815506 | AUC | 0.9889 |
Medical Image Segmentation > Retinal Vessel Segmentation | DRIVE | FR-UNet | https://ieeexplore.ieee.org/abstract/document/9815506 | Accuracy | 0.9705 |
Medical Image Segmentation > Retinal Vessel Segmentation | DRIVE | FR-UNet | https://ieeexplore.ieee.org/abstract/document/9815506 | sensitivity | 0.8356 |
Medical Image Segmentation > Retinal Vessel Segmentation | DRIVE | Study Group Learning | https://arxiv.org/abs/2103.03451v1 | F1 score | 0.8316 |
Medical Image Segmentation > Retinal Vessel Segmentation | DRIVE | Study Group Learning | https://arxiv.org/abs/2103.03451v1 | AUC | 0.9886 |
Medical Image Segmentation > Retinal Vessel Segmentation | DRIVE | Study Group Learning | https://arxiv.org/abs/2103.03451v1 | sensitivity | 0.8380 |
Medical Image Segmentation > Retinal Vessel Segmentation | DRIVE | SA-UNet | https://arxiv.org/abs/2004.03696v3 | F1 score | 0.8263 |
Medical Image Segmentation > Retinal Vessel Segmentation | DRIVE | SA-UNet | https://arxiv.org/abs/2004.03696v3 | AUC | 0.9864 |
Medical Image Segmentation > Retinal Vessel Segmentation | DRIVE | SA-UNet | https://arxiv.org/abs/2004.03696v3 | Accuracy | 0.9698 |
Medical Image Segmentation > Retinal Vessel Segmentation | DRIVE | DEFFA-Unet | https://arxiv.org/abs/2506.02312v1 | AUC | 0.9861 |
Medical Image Segmentation > Retinal Vessel Segmentation | DRIVE | DEFFA-Unet | https://arxiv.org/abs/2506.02312v1 | MCC | 0.8079 |
Medical Image Segmentation > Retinal Vessel Segmentation | DRIVE | DEFFA-Unet | https://arxiv.org/abs/2506.02312v1 | 1:1 Accuracy | 0.9701 |
Medical Image Segmentation > Retinal Vessel Segmentation | DRIVE | DEFFA-Unet | https://arxiv.org/abs/2506.02312v1 | DSC | 0.8347 |
Medical Image Segmentation > Retinal Vessel Segmentation | DRIVE | DEFFA-Unet | https://arxiv.org/abs/2506.02312v1 | Average IOU | 0.7154 |
Medical Image Segmentation > Retinal Vessel Segmentation | DRIVE | U-Net | https://arxiv.org/abs/2105.09365v2 | AUC | 0.9855 |
Medical Image Segmentation > Retinal Vessel Segmentation | DRIVE | U-Net | https://arxiv.org/abs/2105.09365v2 | Accuracy | 0.9712 |
Medical Image Segmentation > Retinal Vessel Segmentation | DRIVE | DA-Net | https://arxiv.org/abs/2403.04158v1 | F1 score | 0.8193 |
Medical Image Segmentation > Retinal Vessel Segmentation | DRIVE | DA-Net | https://arxiv.org/abs/2403.04158v1 | AUC | 0.9846 |
Medical Image Segmentation > Retinal Vessel Segmentation | DRIVE | DA-Net | https://arxiv.org/abs/2403.04158v1 | Accuracy | 0.8082 |
Medical Image Segmentation > Retinal Vessel Segmentation | DRIVE | DA-Net | https://arxiv.org/abs/2403.04158v1 | sensitivity | 0.8307 |
Medical Image Segmentation > Retinal Vessel Segmentation | DRIVE | DA-Net | https://arxiv.org/abs/2403.04158v1 | Specificity | 0.9803 |
Medical Image Segmentation > Retinal Vessel Segmentation | DRIVE | FSG-Net | https://arxiv.org/abs/2501.18921v1 | F1 score | 0.8322 |
Medical Image Segmentation > Retinal Vessel Segmentation | DRIVE | FSG-Net | https://arxiv.org/abs/2501.18921v1 | AUC | 0.9823 |
Medical Image Segmentation > Retinal Vessel Segmentation | DRIVE | FSG-Net | https://arxiv.org/abs/2501.18921v1 | Accuracy | 0.9704 |
Medical Image Segmentation > Retinal Vessel Segmentation | DRIVE | FSG-Net | https://arxiv.org/abs/2501.18921v1 | mIoU | 0.8406 |
Medical Image Segmentation > Retinal Vessel Segmentation | DRIVE | FSG-Net | https://arxiv.org/abs/2501.18921v1 | sensitivity | 0.8420 |
Medical Image Segmentation > Retinal Vessel Segmentation | DRIVE | FSG-Net | https://arxiv.org/abs/2501.18921v1 | MCC | 0.8173 |
Medical Image Segmentation > Retinal Vessel Segmentation | DRIVE | IterNet | https://arxiv.org/abs/1912.05763v1 | F1 score | 0.8205 |
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