Att U-Net

Reported on 6 benchmarks across 2 tasks · 1 paper · 4 SOTA

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

Medical6 results

Medical Image SegmentationonCT-150
Precision· 2018-04-11
0.849
SOTA
Attention U-Net: Learning Where to Look for the Pancreas arXiv:1804.03999
Medical Image SegmentationonCT-150
Recall· 2018-04-11
0.841
SOTA
Attention U-Net: Learning Where to Look for the Pancreas arXiv:1804.03999
3D Medical Imaging SegmentationonCT-150
Precision· 2018-04-11
0.849
SOTA
Attention U-Net: Learning Where to Look for the Pancreas arXiv:1804.03999
3D Medical Imaging SegmentationonCT-150
Recall· 2018-04-11
0.841
SOTA
Attention U-Net: Learning Where to Look for the Pancreas arXiv:1804.03999
Medical Image SegmentationonTCIA Pancreas-CT Dataset
Dice Score· 2018-04-11
0.831
best: 0.845 (Recurrent Saliency Transformation Network)
Attention U-Net: Learning Where to Look for the Pancreas arXiv:1804.03999
3D Medical Imaging SegmentationonTCIA Pancreas-CT Dataset
Dice Score· 2018-04-11
0.831
best: 0.845 (Recurrent Saliency Transformation Network)
Attention U-Net: Learning Where to Look for the Pancreas arXiv:1804.03999