torchio
Medical imaging processing for AI applications.
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- random_swap.jpg
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- weiss.jpg
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- affine_transform.md
- anisotropy.md
- bias_field.md
- blur.md
- clamp.md
- compose.md
- contour.md
- copy_affine.md
- cornucopia_adapter.md
- crop.md
- crop_or_pad.md
- elastic_deformation.md
- ensure_shape_multiple.md
- flip.md
- gamma.md
- ghosting.md
- histogram_standardization.md
- keep_largest.md
- labels_to_image.md
- lambda_transform.md
- mask.md
- monai_adapter.md
- motion.md
- noise.md
- normalize.md
- one_hot.md
- one_of.md
- pad.md
- pca.md
- remap_labels.md
- remove_labels.md
- reorient.md
- resample.md
- resize.md
- sequential_labels.md
- some_of.md
- spatial.md
- spike.md
- standardize.md
- swap.md
- to.md
- to_reference_space.md
- transpose.md
- affine.md
- axes.md
- backends.md
- bboxes.md
- cli.md
- image.md
- loader.md
- patches.md
- points.md
- random_parameters.md
- subject.md
- transforms.md
- visualization.md
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- annotations.md
- augmentation.md
- first-pipeline.md
- large-volumes.md
- datasets.md
- gallery.py
- index.md
- plot_directive.py
- __init__.py
- affine.py
- aggregator.py
- axes.py
- backends.py
- batch.py
- bboxes.py
- image.py
- invertible.py
- io.py
- patch.py
- points.py
- queue.py
- sampler.py
- subject.py
- __init__.py
- itk_snap.py
- __init__.py
- colin.py
- icbm.py
- mni.py
- pediatric.py
- sheep.py
- __init__.py
- fpg.py
- ixi.py
- medmnist.py
- slicer.py
- zone_plate.py
- __init__.py
- due.py
- imports.py
- __init__.py
- bias_field.py
- blur.py
- clamp.py
- gamma.py
- ghosting.py
- histogram_standardization.py
- labels_to_image.py
- mask.py
- motion.py
- noise.py
- normalize.py
- pca.py
- spike.py
- standardize.py
- swap.py
- __init__.py
- contour.py
- keep_largest.py
- one_hot.py
- remap_labels.py
- remove_labels.py
- sequential_labels.py
- __init__.py
- _padding.py
- anisotropy.py
- copy_affine.py
- crop.py
- crop_or_pad.py
- ensure_shape_multiple.py
- flip.py
- pad.py
- reorient.py
- resize.py
- spatial.py
- to_reference_space.py
- transpose.py
- __init__.py
- _statistics.py
- compose.py
- cornucopia_adapter.py
- inverse.py
- lambda_transform.py
- monai_adapter.py
- parameter_range.py
- to.py
- transform.py
- __init__.py
- cli.py
- download.py
- io.py
- loader.py
- logging.py
- py.typed
- repr_html.py
- types.py
- visualization.py
- IMG0001.dcm
- IMG0002.dcm
- IMG0003.dcm
- IMG0004.dcm
- IMG0005.dcm
- IMG0006.dcm
- IMG0007.dcm
- IMG0008.dcm
- IMG0009.dcm
- IMG0010.dcm
- IMG0011.dcm
- IMG0012.dcm
- IMG0013.dcm
- IMG0014.dcm
- IMG0015.dcm
- IMG0016.dcm
- IMG0017.dcm
- __init__.py
- conftest.py
- test_affine.py
- test_anisotropy.py
- test_axes.py
- test_backends.py
- test_batch.py
- test_bboxes.py
- test_bias_field.py
- test_blur.py
- test_clamp.py
- test_cli.py
- test_compose.py
- test_contour.py
- test_copy_affine.py
- test_cornucopia_adapter.py
- test_crop.py
- test_crop_or_pad.py
- test_datasets.py
- test_device.py
- test_ensure_shape_multiple.py
- test_flip.py
- test_gamma.py
- test_ghosting.py
- test_histogram_standardization.py
- test_hydra.py
- test_identity_warning.py
- test_image.py
- test_image_annotations.py
- test_inverse.py
- test_keep_largest.py
- test_labels_to_image.py
- test_lambda_transform.py
- test_mask.py
- test_monai_adapter.py
- test_motion.py
- test_noise.py
- test_normalize.py
- test_one_hot.py
- test_one_of.py
- test_pad.py
- test_parameter_range.py
- test_patches.py
- test_pca.py
- test_per_instance.py
- test_points.py
- test_queue.py
- test_remap_labels.py
- test_remote_loading.py
- test_remote_zarr.py
- test_remove_labels.py
- test_reorient.py
- test_repr_html.py
- test_resize.py
- test_sequential_labels.py
- test_some_of.py
- test_spatial.py
- test_spike.py
- test_standardize.py
- test_subject.py
- test_swap.py
- test_tensordict.py
- test_to.py
- test_to_reference_space.py
- test_transforms_base.py
- test_transpose.py
- test_vectorization.py
- test_visualization.py
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- CONTRIBUTING.md
- LICENSE
- mise.toml
- print_system.py
- pyproject.toml
- README.md
- tox.ini
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# Installation Guide
1. Get the code
git clone https://github.com/TorchIO-project/torchio
Downloads the entire project code from GitHub to your computer.
cd torchio
Moves into the project folder you just downloaded.
2. Python
Easy RecommendedPrerequisites
pip install .
Installs the package published on PyPI directly — no need to clone the source.
python <실행할 파일명>.py # README에서 정확한 실행 파일명을 확인하세요
Runs the Python script (or module).
If it runs without errors and prints output in the terminal, it worked.
// repository documentation
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