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Models/OCTAve: OCTA-Net

OCTAve: OCTA-Net

Reported on 8 benchmarks across 2 tasks · 1 paper · 6 SOTA

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

Medical8 results

Medical Image SegmentationonROSE-2
Dice Score· 2022-07-25
71.18
SOTA
OCTAve: 2D en face Optical Coherence Tomography Angiography Vessel Segmentation in Weakly-Supervised Learning with Locality Augmentation arXiv:2207.12238
Medical Image SegmentationonROSE-1 SVC-DVC
Dice Score· 2022-07-25
81.42
SOTA
OCTAve: 2D en face Optical Coherence Tomography Angiography Vessel Segmentation in Weakly-Supervised Learning with Locality Augmentation arXiv:2207.12238
Medical Image SegmentationonROSE-1 SVC
Dice Score· 2022-07-25
78.03
SOTA
OCTAve: 2D en face Optical Coherence Tomography Angiography Vessel Segmentation in Weakly-Supervised Learning with Locality Augmentation arXiv:2207.12238
Retinal Vessel SegmentationonROSE-2
Dice Score· 2022-07-25
71.18
SOTA
OCTAve: 2D en face Optical Coherence Tomography Angiography Vessel Segmentation in Weakly-Supervised Learning with Locality Augmentation arXiv:2207.12238
Retinal Vessel SegmentationonROSE-1 SVC-DVC
Dice Score· 2022-07-25
81.42
SOTA
OCTAve: 2D en face Optical Coherence Tomography Angiography Vessel Segmentation in Weakly-Supervised Learning with Locality Augmentation arXiv:2207.12238
Retinal Vessel SegmentationonROSE-1 SVC
Dice Score· 2022-07-25
78.03
SOTA
OCTAve: 2D en face Optical Coherence Tomography Angiography Vessel Segmentation in Weakly-Supervised Learning with Locality Augmentation arXiv:2207.12238
Medical Image SegmentationonROSE-1 DVC
Dice Score· 2022-07-25
62.55
best: 70.74 (OCTA-Net)
OCTAve: 2D en face Optical Coherence Tomography Angiography Vessel Segmentation in Weakly-Supervised Learning with Locality Augmentation arXiv:2207.12238
Retinal Vessel SegmentationonROSE-1 DVC
Dice Score· 2022-07-25
62.55
best: 70.74 (OCTA-Net)
OCTAve: 2D en face Optical Coherence Tomography Angiography Vessel Segmentation in Weakly-Supervised Learning with Locality Augmentation arXiv:2207.12238