Semantic Genesis

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 SegmentationonBRATS-2013
Dice Score· 2020-07-14
92.76
SOTA
Learning Semantics-enriched Representation via Self-discovery, Self-classification, and Self-restoration arXiv:2007.06959
Medical Image SegmentationonBRATS 2018
IoU· 2020-07-14
68.8
SOTA
Learning Semantics-enriched Representation via Self-discovery, Self-classification, and Self-restoration arXiv:2007.06959
Medical Image SegmentationonLiTS2017
IoU· 2020-07-14
85.6
best: 89.85 (Polar U-Net)
SOTA
Learning Semantics-enriched Representation via Self-discovery, Self-classification, and Self-restoration arXiv:2007.06959
Lung Nodule DetectiononLUNA2016 FPRED
AUC· 2020-07-14
98.47
SOTA
Learning Semantics-enriched Representation via Self-discovery, Self-classification, and Self-restoration arXiv:2007.06959
Medical Image SegmentationonLiTS2017
Dice· 2020-07-14
92.27
best: 96.5 (H-DenseUnet Liver)
Learning Semantics-enriched Representation via Self-discovery, Self-classification, and Self-restoration arXiv:2007.06959
Medical Image SegmentationonLIDC-IDRI
IoU· 2020-07-14
77.24
best: 77.62 (ModelGenesis)
Learning Semantics-enriched Representation via Self-discovery, Self-classification, and Self-restoration arXiv:2007.06959