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Models/ModelGenesis

ModelGenesis

Reported on 7 benchmarks across 3 tasks · 1 paper · 6 SOTA

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

Medical7 results

Medical Image SegmentationonBRATS-2013
Dice Score· 2019-08-19
0.9258
best: 92.76 (Semantic Genesis)
SOTA
Models Genesis: Generic Autodidactic Models for 3D Medical Image Analysis arXiv:1908.06912
Medical Image SegmentationonLiTS2017
IoU· 2019-08-19
79.52
best: 89.85 (Polar U-Net)
SOTA
Models Genesis: Generic Autodidactic Models for 3D Medical Image Analysis arXiv:1908.06912
Medical Image SegmentationonLIDC-IDRI
Dice· 2019-08-19
75.86
SOTA
Models Genesis: Generic Autodidactic Models for 3D Medical Image Analysis arXiv:1908.06912
Medical Image SegmentationonLIDC-IDRI
IoU· 2019-08-19
77.62
SOTA
Models Genesis: Generic Autodidactic Models for 3D Medical Image Analysis arXiv:1908.06912
Lung Nodule DetectiononLUNA2016 FPRED
AUC· 2019-08-19
98.2
best: 98.47 (Semantic Genesis)
SOTA
Models Genesis: Generic Autodidactic Models for 3D Medical Image Analysis arXiv:1908.06912
Pulmonary Embolism DetectiononPE-CAD FPRED
AUC· 2019-08-19
88.04
SOTA
Models Genesis: Generic Autodidactic Models for 3D Medical Image Analysis arXiv:1908.06912
Medical Image SegmentationonLiTS2017
Dice· 2019-08-19
91.13
best: 96.5 (H-DenseUnet Liver)
Models Genesis: Generic Autodidactic Models for 3D Medical Image Analysis arXiv:1908.06912