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Models/CE-Net

CE-Net

Reported on 15 benchmarks across 2 tasks · 1 paper · 9 SOTA

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

Medical15 results

Medical Image SegmentationonISBI 2012 EM Segmentation
VInfo· 2019-03-07
0.9878
SOTA
CE-Net: Context Encoder Network for 2D Medical Image Segmentation arXiv:1903.02740
Medical Image SegmentationonISBI 2012 EM Segmentation
VRand· 2019-03-07
0.9743
SOTA
CE-Net: Context Encoder Network for 2D Medical Image Segmentation arXiv:1903.02740
Medical Image SegmentationonROSE-2
Dice Score· 2019-03-07
70.66
best: 71.18 (OCTAve: OCTA-Net)
SOTA
CE-Net: Context Encoder Network for 2D Medical Image Segmentation arXiv:1903.02740
Medical Image SegmentationonROSE-1 SVC
Dice Score· 2019-03-07
75.11
best: 78.03 (OCTAve: OCTA-Net)
SOTA
CE-Net: Context Encoder Network for 2D Medical Image Segmentation arXiv:1903.02740
Medical Image SegmentationonDRIVE
Accuracy· 2019-03-07
0.9545
best: 0.9712 (U-Net)
SOTA
CE-Net: Context Encoder Network for 2D Medical Image Segmentation arXiv:1903.02740
Medical Image SegmentationonLUNA
Accuracy· 2019-03-07
0.99
SOTA
CE-Net: Context Encoder Network for 2D Medical Image Segmentation arXiv:1903.02740
Retinal Vessel SegmentationonROSE-2
Dice Score· 2019-03-07
70.66
best: 71.18 (OCTAve: OCTA-Net)
SOTA
CE-Net: Context Encoder Network for 2D Medical Image Segmentation arXiv:1903.02740
Retinal Vessel SegmentationonROSE-1 SVC
Dice Score· 2019-03-07
75.11
best: 78.03 (OCTAve: OCTA-Net)
SOTA
CE-Net: Context Encoder Network for 2D Medical Image Segmentation arXiv:1903.02740
Retinal Vessel SegmentationonDRIVE
Accuracy· 2019-03-07
0.9545
best: 0.9712 (U-Net)
SOTA
CE-Net: Context Encoder Network for 2D Medical Image Segmentation arXiv:1903.02740
Medical Image SegmentationonROSE-1 SVC-DVC
Dice Score· 2019-03-07
73
best: 81.42 (OCTAve: OCTA-Net)
CE-Net: Context Encoder Network for 2D Medical Image Segmentation arXiv:1903.02740
Medical Image SegmentationonROSE-1 DVC
Dice Score· 2019-03-07
57.83
best: 70.74 (OCTA-Net)
CE-Net: Context Encoder Network for 2D Medical Image Segmentation arXiv:1903.02740
Medical Image SegmentationonDRIVE
AUC· 2019-03-07
0.9779
best: 0.9931 (Swin-Res-Net)
CE-Net: Context Encoder Network for 2D Medical Image Segmentation arXiv:1903.02740
Retinal Vessel SegmentationonROSE-1 SVC-DVC
Dice Score· 2019-03-07
73
best: 81.42 (OCTAve: OCTA-Net)
CE-Net: Context Encoder Network for 2D Medical Image Segmentation arXiv:1903.02740
Retinal Vessel SegmentationonROSE-1 DVC
Dice Score· 2019-03-07
57.83
best: 70.74 (OCTA-Net)
CE-Net: Context Encoder Network for 2D Medical Image Segmentation arXiv:1903.02740
Retinal Vessel SegmentationonDRIVE
AUC· 2019-03-07
0.9779
best: 0.9931 (Swin-Res-Net)
CE-Net: Context Encoder Network for 2D Medical Image Segmentation arXiv:1903.02740