| | .github | | |
| | 2d_classification | | |
| | 2d_registration | | |
| | 2d_regression | | |
| | 2d_segmentation | | |
| | 3d_classification | | |
| | 3d_registration | | |
| | 3d_regression | | |
| | 3d_segmentation | | |
| | acceleration | | |
| | active_learning | | |
| | auto3dseg | | |
| | automl | | |
| | bundle | | |
| | ci | | |
| | competitions | | |
| | computer_assisted_intervention | | |
| | deep_atlas | | |
| | deepedit | | |
| | deepgrow | | |
| | deployment | | |
| | detection | | |
| | experiment_management | | |
| | federated_learning | | |
| | figures | | |
| | full_gpu_inference_pipeline | | |
| | generation | | |
| | hugging_face | | |
| | microscopy | | |
| | model_zoo | | |
| | modules | | |
| | monailabel | | |
| | multimodal | | |
| | nnunet | | |
| | patch_inferer | | |
| | pathology | | |
| | performance_profiling | | |
| | reconstruction | | |
| | self_supervised_pretraining | | |
| | vista_2d | | |
| | vista_3d | | |
| | .gitignore | | 1.9 KB |
| | .pre-commit-config.yaml | | 1.1 KB |
| | CONTRIBUTING.md | | 15.5 KB |
| | LICENSE | | 11.1 KB |
| | pyproject.toml | | 434 B |
| | README.md | | 28.6 KB |
| | requirements.txt | | 93 B |
| | runexamples.sh | | 5.6 KB |
| | runner.sh | | 32.4 KB |
