nnU-Net
Self-configuring deep learning framework for semantic segmentation of biomedical images requiring no manual hyperparameter tuning; automatically adapts preprocessing, network topology, and training parameters to achieve state-of-the-art results across 120+ international competitions and benchmarks out-of-the-box (DKFZ, Nature Methods 2021, 8.3k+ stars)
- Repository
- github.com/mic-dkfz/nnunet
Source attribution
- Awesome AI for Science — github.com/mic-dkfz/nnunet
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